Computer Science Oct 2018

<!DOCTYPE html> <html lang="en"> <head> <title>Computer Science Oct 2018</title> <meta name="viewport" content="width=device-width, initial-scale=1"> <link rel="apple-touch-icon" sizes="180x180" href="/static/browse/0.3.4/images/icons/apple-touch-icon.png"> <link rel="icon" type="image/png" sizes="32x32" href="/static/browse/0.3.4/images/icons/favicon-32x32.png"> <link rel="icon" type="image/png" sizes="16x16" href="/static/browse/0.3.4/images/icons/favicon-16x16.png"> <link rel="manifest" href="/static/browse/0.3.4/images/icons/site.webmanifest"> <link rel="mask-icon" href="/static/browse/0.3.4/images/icons/safari-pinned-tab.svg" color="#5bbad5"> <meta name="msapplication-TileColor" content="#da532c"> <meta name="theme-color" content="#ffffff"> <link rel="stylesheet" type="text/css" media="screen" href="/static/browse/0.3.4/css/arXiv.css?v=20241206" /> <link rel="stylesheet" type="text/css" media="print" href="/static/browse/0.3.4/css/arXiv-print.css?v=20200611" /> <link 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href=/list/cs/2018-10?skip=0&show=25 rel="nofollow"> fewer</a> | <a href=/list/cs/2018-10?skip=0&show=100 rel="nofollow"> more</a> | <a href=/list/cs/2018-10?skip=0&show=2000 rel="nofollow"> all</a> </div> <dl id='articles'> <dt> <a name='item1'>[1]</a> <a href ="/abs/1810.00015" title="Abstract" id="1810.00015"> arXiv:1810.00015 </a> [<a href="/pdf/1810.00015" title="Download PDF" id="pdf-1810.00015" aria-labelledby="pdf-1810.00015">pdf</a>, <a href="/format/1810.00015" title="Other formats" id="oth-1810.00015" aria-labelledby="oth-1810.00015">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A new approach to the Kasami codes of type 2 </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Shi,+M">Minjia Shi</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Krotov,+D">Denis Krotov</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Sol%C3%A9,+P">Patrick Sol茅</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Revised version. The automorphism-group part essentially updated (in the previous versions, it contained incorrect results) </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> IEEE Trans. Inf. Theory 66(4) 2020, 2456-2465 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Information Theory (cs.IT)</span>; Combinatorics (math.CO) </div> </div> </dd> <dt> <a name='item2'>[2]</a> <a href ="/abs/1810.00024" title="Abstract" id="1810.00024"> arXiv:1810.00024 </a> [<a href="/pdf/1810.00024" title="Download PDF" id="pdf-1810.00024" aria-labelledby="pdf-1810.00024">pdf</a>, <a href="/format/1810.00024" title="Other formats" id="oth-1810.00024" aria-labelledby="oth-1810.00024">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Explainable Black-Box Attacks Against Model-based Authentication </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Garcia,+W">Washington Garcia</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Choi,+J+I">Joseph I. Choi</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Adari,+S+K">Suman K. Adari</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Jha,+S">Somesh Jha</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Butler,+K+R+B">Kevin R. B. Butler</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Artificial Intelligence (cs.AI); Cryptography and Security (cs.CR); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item3'>[3]</a> <a href ="/abs/1810.00027" title="Abstract" id="1810.00027"> arXiv:1810.00027 </a> [<a href="/pdf/1810.00027" title="Download PDF" id="pdf-1810.00027" aria-labelledby="pdf-1810.00027">pdf</a>, <a href="/format/1810.00027" title="Other formats" id="oth-1810.00027" aria-labelledby="oth-1810.00027">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Ten Quick Tips for Using a Raspberry Pi </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Fletcher,+A+C">Anthony C Fletcher</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Mura,+C">Cameron Mura</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 12 pages, 2 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computers and Society (cs.CY)</span> </div> </div> </dd> <dt> <a name='item4'>[4]</a> <a href ="/abs/1810.00028" title="Abstract" id="1810.00028"> arXiv:1810.00028 </a> [<a href="/pdf/1810.00028" title="Download PDF" id="pdf-1810.00028" aria-labelledby="pdf-1810.00028">pdf</a>, <a href="/format/1810.00028" title="Other formats" id="oth-1810.00028" aria-labelledby="oth-1810.00028">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Data-Driven Modeling of Group Entitativity in Virtual Environments </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Bera,+A">Aniket Bera</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Randhavane,+T">Tanmay Randhavane</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Kubin,+E">Emily Kubin</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Shaik,+H">Husam Shaik</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Gray,+K">Kurt Gray</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Manocha,+D">Dinesh Manocha</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted at VRST 2018, November 28-December 1, 2018, Tokyo, Japan </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Graphics (cs.GR)</span>; Human-Computer Interaction (cs.HC) </div> </div> </dd> <dt> <a name='item5'>[5]</a> <a href ="/abs/1810.00029" title="Abstract" id="1810.00029"> arXiv:1810.00029 </a> [<a href="/pdf/1810.00029" title="Download PDF" id="pdf-1810.00029" aria-labelledby="pdf-1810.00029">pdf</a>, <a href="/format/1810.00029" title="Other formats" id="oth-1810.00029" aria-labelledby="oth-1810.00029">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Minimization of Gini impurity via connections with the k-means problem </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Laber,+E+S">Eduardo Sany Laber</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Murtinho,+L">Lucas Murtinho</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Data Structures and Algorithms (cs.DS)</span>; Computational Complexity (cs.CC); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item6'>[6]</a> <a href ="/abs/1810.00031" title="Abstract" id="1810.00031"> arXiv:1810.00031 </a> [<a href="/pdf/1810.00031" title="Download PDF" id="pdf-1810.00031" aria-labelledby="pdf-1810.00031">pdf</a>, <a href="/format/1810.00031" title="Other formats" id="oth-1810.00031" aria-labelledby="oth-1810.00031">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Active Fairness in Algorithmic Decision Making </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Noriega-Campero,+A">Alejandro Noriega-Campero</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Bakker,+M+A">Michiel A. Bakker</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Garcia-Bulle,+B">Bernardo Garcia-Bulle</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Pentland,+A">Alex Pentland</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computers and Society (cs.CY)</span>; Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Applications (stat.AP) </div> </div> </dd> <dt> <a name='item7'>[7]</a> <a href ="/abs/1810.00037" title="Abstract" id="1810.00037"> arXiv:1810.00037 </a> [<a href="/pdf/1810.00037" title="Download PDF" id="pdf-1810.00037" aria-labelledby="pdf-1810.00037">pdf</a>, <a href="/format/1810.00037" title="Other formats" id="oth-1810.00037" aria-labelledby="oth-1810.00037">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Celer Network: Bring Internet Scale to Every Blockchain </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Dong,+M">Mo Dong</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Liang,+Q">Qingkai Liang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Li,+X">Xiaozhou Li</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Liu,+J">Junda Liu</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Networking and Internet Architecture (cs.NI)</span> </div> </div> </dd> <dt> <a name='item8'>[8]</a> <a href ="/abs/1810.00041" title="Abstract" id="1810.00041"> arXiv:1810.00041 </a> [<a href="/pdf/1810.00041" title="Download PDF" id="pdf-1810.00041" aria-labelledby="pdf-1810.00041">pdf</a>, <a href="/format/1810.00041" title="Other formats" id="oth-1810.00041" aria-labelledby="oth-1810.00041">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Efficiently Coupling the I-DLV Grounder with ASP Solvers </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Calimeri,+F">Francesco Calimeri</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Dodaro,+C">Carmine Dodaro</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Fusc%C3%A0,+D">Davide Fusc脿</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Perri,+S">Simona Perri</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zangari,+J">Jessica Zangari</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Under consideration in Theory and Practice of Logic Programming (TPLP). 19 pages, 4 figures </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Theory and Practice of Logic Programming 20 (2020) 205-224 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Logic in Computer Science (cs.LO)</span> </div> </div> </dd> <dt> <a name='item9'>[9]</a> <a href ="/abs/1810.00045" title="Abstract" id="1810.00045"> arXiv:1810.00045 </a> [<a href="/pdf/1810.00045" title="Download PDF" id="pdf-1810.00045" aria-labelledby="pdf-1810.00045">pdf</a>, <a href="/format/1810.00045" title="Other formats" id="oth-1810.00045" aria-labelledby="oth-1810.00045">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Adversarial Domain Adaptation for Stable Brain-Machine Interfaces </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Farshchian,+A">Ali Farshchian</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Gallego,+J+A">Juan A. Gallego</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Cohen,+J+P">Joseph P. Cohen</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Bengio,+Y">Yoshua Bengio</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Miller,+L+E">Lee E. Miller</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Solla,+S+A">Sara A. Solla</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 14 pages, 6 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Neurons and Cognition (q-bio.NC); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item10'>[10]</a> <a href ="/abs/1810.00046" title="Abstract" id="1810.00046"> arXiv:1810.00046 </a> [<a href="/pdf/1810.00046" title="Download PDF" id="pdf-1810.00046" aria-labelledby="pdf-1810.00046">pdf</a>, <a href="/format/1810.00046" title="Other formats" id="oth-1810.00046" aria-labelledby="oth-1810.00046">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Estimation-Based Model Predictive Control for Automatic Crosswind Stabilization of Hybrid Aerial Vehicles </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Helwa,+M+K">Mohamed K. Helwa</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Esser,+A">Adrian Esser</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Schoellig,+A+P">Angela P. Schoellig</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 23 pages, 13 figures, preprint submitted to Elsevier Mechatronics </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Systems and Control (eess.SY)</span>; Robotics (cs.RO) </div> </div> </dd> <dt> <a name='item11'>[11]</a> <a href ="/abs/1810.00057" title="Abstract" id="1810.00057"> arXiv:1810.00057 </a> [<a href="/pdf/1810.00057" title="Download PDF" id="pdf-1810.00057" aria-labelledby="pdf-1810.00057">pdf</a>, <a href="/format/1810.00057" title="Other formats" id="oth-1810.00057" aria-labelledby="oth-1810.00057">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> New bounds and efficient algorithm for sparse difference resultant </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Yuan,+C">Chun-Ming Yuan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhang,+Z">Zhi-Yong Zhang</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 22 pages </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Journal of Symbolic Computation 2021 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Symbolic Computation (cs.SC)</span> </div> </div> </dd> <dt> <a name='item12'>[12]</a> <a href ="/abs/1810.00068" title="Abstract" id="1810.00068"> arXiv:1810.00068 </a> [<a href="/pdf/1810.00068" title="Download PDF" id="pdf-1810.00068" aria-labelledby="pdf-1810.00068">pdf</a>, <a href="/format/1810.00068" title="Other formats" id="oth-1810.00068" aria-labelledby="oth-1810.00068">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Differentially Private Contextual Linear Bandits </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Shariff,+R">Roshan Shariff</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Sheffet,+O">Or Sheffet</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 21 pages, 5 figures; to appear in NIPS 2018 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item13'>[13]</a> <a href ="/abs/1810.00069" title="Abstract" id="1810.00069"> arXiv:1810.00069 </a> [<a href="/pdf/1810.00069" title="Download PDF" id="pdf-1810.00069" aria-labelledby="pdf-1810.00069">pdf</a>, <a href="/format/1810.00069" title="Other formats" id="oth-1810.00069" aria-labelledby="oth-1810.00069">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Adversarial Attacks and Defences: A Survey </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Chakraborty,+A">Anirban Chakraborty</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Alam,+M">Manaar Alam</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Dey,+V">Vishal Dey</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Chattopadhyay,+A">Anupam Chattopadhyay</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Mukhopadhyay,+D">Debdeep Mukhopadhyay</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Cryptography and Security (cs.CR); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item14'>[14]</a> <a href ="/abs/1810.00072" title="Abstract" id="1810.00072"> arXiv:1810.00072 </a> [<a href="/pdf/1810.00072" title="Download PDF" id="pdf-1810.00072" aria-labelledby="pdf-1810.00072">pdf</a>, <a href="/format/1810.00072" title="Other formats" id="oth-1810.00072" aria-labelledby="oth-1810.00072">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Deep Residual Network for Off-Resonance Artifact Correction with Application to Pediatric Body Magnetic Resonance Angiography with 3D Cones </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Zeng,+D+Y">David Y Zeng</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Shaikh,+J">Jamil Shaikh</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Nishimura,+D+G">Dwight G Nishimura</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Vasanawala,+S+S">Shreyas S Vasanawala</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Cheng,+J+Y">Joseph Y Cheng</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computer Vision and Pattern Recognition (cs.CV)</span>; Medical Physics (physics.med-ph) </div> </div> </dd> <dt> <a name='item15'>[15]</a> <a href ="/abs/1810.00088" title="Abstract" id="1810.00088"> arXiv:1810.00088 </a> [<a href="/pdf/1810.00088" title="Download PDF" id="pdf-1810.00088" aria-labelledby="pdf-1810.00088">pdf</a>, <a href="/format/1810.00088" title="Other formats" id="oth-1810.00088" aria-labelledby="oth-1810.00088">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> TS-MPC for Autonomous Vehicles including a dynamic TS-MHE-UIO </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Alcal%C3%A1,+E">Eugenio Alcal谩</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Puig,+V">Vicen莽 Puig</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Quevedo,+J">Joseba Quevedo</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Systems and Control (eess.SY)</span> </div> </div> </dd> <dt> <a name='item16'>[16]</a> <a href ="/abs/1810.00090" title="Abstract" id="1810.00090"> arXiv:1810.00090 </a> [<a href="/pdf/1810.00090" title="Download PDF" id="pdf-1810.00090" aria-labelledby="pdf-1810.00090">pdf</a>, <a href="/format/1810.00090" title="Other formats" id="oth-1810.00090" aria-labelledby="oth-1810.00090">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Cell Grid Architecture for Maritime Route Prediction on AIS Data Streams </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Amariei,+C">Ciprian Amariei</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Diac,+P">Paul Diac</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Onica,+E">Emanuel Onica</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Ro%C5%9Fca,+V">Valentin Ro艧ca</a></div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> DEBS 2018, Proceedings of the 12th ACM International Conference on Distributed and Event-based Systems, Pages 202-204 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Machine Learning (cs.LG); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item17'>[17]</a> <a href ="/abs/1810.00091" title="Abstract" id="1810.00091"> arXiv:1810.00091 </a> [<a href="/pdf/1810.00091" title="Download PDF" id="pdf-1810.00091" aria-labelledby="pdf-1810.00091">pdf</a>, <a href="/format/1810.00091" title="Other formats" id="oth-1810.00091" aria-labelledby="oth-1810.00091">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Wan,+K">Kun Wan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Feng,+B">Boyuan Feng</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Xie,+L">Lingwei Xie</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Ding,+Y">Yufei Ding</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 10 pages, 5 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computer Vision and Pattern Recognition (cs.CV)</span> </div> </div> </dd> <dt> <a name='item18'>[18]</a> <a href ="/abs/1810.00092" title="Abstract" id="1810.00092"> arXiv:1810.00092 </a> [<a href="/pdf/1810.00092" title="Download PDF" id="pdf-1810.00092" aria-labelledby="pdf-1810.00092">pdf</a>, <a href="/format/1810.00092" title="Other formats" id="oth-1810.00092" aria-labelledby="oth-1810.00092">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> The Partially Observable Games We Play for Cyber Deception </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Ahmadi,+M">Mohamadreza Ahmadi</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Cubuktepe,+M">Murat Cubuktepe</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Jansen,+N">Nils Jansen</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Junges,+S">Sebastian Junges</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Katoen,+J">Joost-Pieter Katoen</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Topcu,+U">Ufuk Topcu</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 8 pages, 5 figures, 2 table; submitted to American Control Conference 2019 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Optimization and Control (math.OC) </div> </div> </dd> <dt> <a name='item19'>[19]</a> <a href ="/abs/1810.00093" title="Abstract" id="1810.00093"> arXiv:1810.00093 </a> [<a href="/pdf/1810.00093" title="Download PDF" id="pdf-1810.00093" aria-labelledby="pdf-1810.00093">pdf</a>, <a href="/format/1810.00093" title="Other formats" id="oth-1810.00093" aria-labelledby="oth-1810.00093">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Barrier Certificates for Assured Machine Teaching </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Ahmadi,+M">Mohamadreza Ahmadi</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wu,+B">Bo Wu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Chen,+Y">Yuxin Chen</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Yue,+Y">Yisong Yue</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Topcu,+U">Ufuk Topcu</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Systems and Control (eess.SY)</span> </div> </div> </dd> <dt> <a name='item20'>[20]</a> <a href ="/abs/1810.00096" title="Abstract" id="1810.00096"> arXiv:1810.00096 </a> [<a href="/pdf/1810.00096" title="Download PDF" id="pdf-1810.00096" aria-labelledby="pdf-1810.00096">pdf</a>, <a href="/format/1810.00096" title="Other formats" id="oth-1810.00096" aria-labelledby="oth-1810.00096">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Predicting Destinations by Nearest Neighbor Search on Training Vessel Routes </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Ro%C5%9Fca,+V">Valentin Ro艧ca</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Onica,+E">Emanuel Onica</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Diac,+P">Paul Diac</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Amariei,+C">Ciprian Amariei</a></div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> DEBS 2018, Proceedings of the 12th ACM International Conference on Distributed and Event-based Systems, Pages 224-225 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item21'>[21]</a> <a href ="/abs/1810.00097" title="Abstract" id="1810.00097"> arXiv:1810.00097 </a> [<a href="/pdf/1810.00097" title="Download PDF" id="pdf-1810.00097" aria-labelledby="pdf-1810.00097">pdf</a>, <a href="/format/1810.00097" title="Other formats" id="oth-1810.00097" aria-labelledby="oth-1810.00097">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Cost-Bounded Active Classification Using Partially Observable Markov Decision Processes </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Wu,+B">Bo Wu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Ahmadi,+M">Mohamadreza Ahmadi</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Bharadwaj,+S">Suda Bharadwaj</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Topcu,+U">Ufuk Topcu</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Systems and Control (eess.SY)</span> </div> </div> </dd> <dt> <a name='item22'>[22]</a> <a href ="/abs/1810.00101" title="Abstract" id="1810.00101"> arXiv:1810.00101 </a> [<a href="/pdf/1810.00101" title="Download PDF" id="pdf-1810.00101" aria-labelledby="pdf-1810.00101">pdf</a>, <a href="/format/1810.00101" title="Other formats" id="oth-1810.00101" aria-labelledby="oth-1810.00101">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Memory and Resource Leak Defects and their Repairs in Java Projects </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Ghanavati,+M">Mohammadreza Ghanavati</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Costa,+D">Diego Costa</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Seboek,+J">Janos Seboek</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lo,+D">David Lo</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Andrzejak,+A">Artur Andrzejak</a></div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Empirical Software Engineering, 2019 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Software Engineering (cs.SE)</span> </div> </div> </dd> <dt> <a name='item23'>[23]</a> <a href ="/abs/1810.00104" title="Abstract" id="1810.00104"> arXiv:1810.00104 </a> [<a href="/pdf/1810.00104" title="Download PDF" id="pdf-1810.00104" aria-labelledby="pdf-1810.00104">pdf</a>, <a href="/format/1810.00104" title="Other formats" id="oth-1810.00104" aria-labelledby="oth-1810.00104">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Temporal Cliques Admit Sparse Spanners </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Casteigts,+A">Arnaud Casteigts</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Peters,+J+G">Joseph G. Peters</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Schoeters,+J">Jason Schoeters</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> This version of the article will appear in JCSS and a short version with the same title was presented at ICALP 2019 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Discrete Mathematics (cs.DM)</span>; Distributed, Parallel, and Cluster Computing (cs.DC); Networking and Internet Architecture (cs.NI) </div> </div> </dd> <dt> <a name='item24'>[24]</a> <a href ="/abs/1810.00106" title="Abstract" id="1810.00106"> arXiv:1810.00106 </a> [<a href="/pdf/1810.00106" title="Download PDF" id="pdf-1810.00106" aria-labelledby="pdf-1810.00106">pdf</a>, <a href="/format/1810.00106" title="Other formats" id="oth-1810.00106" aria-labelledby="oth-1810.00106">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Expander Graphs are Non-Malleable Codes </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Rasmussen,+P+M+R">Peter M. R. Rasmussen</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Sahai,+A">Amit Sahai</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 10 pages Resubmitted with revised introduction and acknowledgement </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Cryptography and Security (cs.CR)</span>; Discrete Mathematics (cs.DM) </div> </div> </dd> <dt> <a name='item25'>[25]</a> <a href ="/abs/1810.00107" title="Abstract" id="1810.00107"> arXiv:1810.00107 </a> [<a href="/pdf/1810.00107" title="Download PDF" id="pdf-1810.00107" aria-labelledby="pdf-1810.00107">pdf</a>, <a href="/format/1810.00107" title="Other formats" id="oth-1810.00107" aria-labelledby="oth-1810.00107">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Superimposition-guided Facial Reconstruction from Skull </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Liu,+C">Celong Liu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Li,+X">Xin Li</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 14 pages; 14 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Graphics (cs.GR)</span>; Computer Vision and Pattern Recognition (cs.CV) </div> </div> </dd> <dt> <a name='item26'>[26]</a> <a href ="/abs/1810.00108" title="Abstract" id="1810.00108"> arXiv:1810.00108 </a> [<a href="/pdf/1810.00108" title="Download PDF" id="pdf-1810.00108" aria-labelledby="pdf-1810.00108">pdf</a>, <a href="/format/1810.00108" title="Other formats" id="oth-1810.00108" aria-labelledby="oth-1810.00108">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Audio-Visual Speech Recognition With A Hybrid CTC/Attention Architecture </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Petridis,+S">Stavros Petridis</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Stafylakis,+T">Themos Stafylakis</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Ma,+P">Pingchuan Ma</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Tzimiropoulos,+G">Georgios Tzimiropoulos</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Pantic,+M">Maja Pantic</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted to IEEE SLT 2018 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computer Vision and Pattern Recognition (cs.CV)</span> </div> </div> </dd> <dt> <a name='item27'>[27]</a> <a href ="/abs/1810.00110" title="Abstract" id="1810.00110"> arXiv:1810.00110 </a> [<a href="/pdf/1810.00110" title="Download PDF" id="pdf-1810.00110" aria-labelledby="pdf-1810.00110">pdf</a>, <a href="/format/1810.00110" title="Other formats" id="oth-1810.00110" aria-labelledby="oth-1810.00110">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Open-Ended Content-Style Recombination Via Leakage Filtering </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Ridgeway,+K">Karl Ridgeway</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Mozer,+M+C">Michael C. Mozer</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item28'>[28]</a> <a href ="/abs/1810.00111" title="Abstract" id="1810.00111"> arXiv:1810.00111 </a> [<a href="/pdf/1810.00111" title="Download PDF" id="pdf-1810.00111" aria-labelledby="pdf-1810.00111">pdf</a>, <a href="/format/1810.00111" title="Other formats" id="oth-1810.00111" aria-labelledby="oth-1810.00111">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> DeepSSM: A Deep Learning Framework for Statistical Shape Modeling from Raw Images </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Bhalodia,+R">Riddhish Bhalodia</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Elhabian,+S+Y">Shireen Y. Elhabian</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Kavan,+L">Ladislav Kavan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Whitaker,+R+T">Ross T. Whitaker</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted to ShapeMI MICCAI 2018 (oral): Workshop on Shape in Medical Imaging </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computer Vision and Pattern Recognition (cs.CV)</span>; Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item29'>[29]</a> <a href ="/abs/1810.00119" title="Abstract" id="1810.00119"> arXiv:1810.00119 </a> [<a href="/pdf/1810.00119" title="Download PDF" id="pdf-1810.00119" aria-labelledby="pdf-1810.00119">pdf</a>, <a href="/format/1810.00119" title="Other formats" id="oth-1810.00119" aria-labelledby="oth-1810.00119">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Visual Object Tracking based on Adaptive Siamese and Motion Estimation Network </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Kashiani,+H">Hossein Kashiani</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Shokouhi,+S+B">Shahriar B. Shokouhi</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 28 pages, 1 algorithm, 7 figures, 2 table, Submitted to Elsevier, Image and Vision Computing </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computer Vision and Pattern Recognition (cs.CV)</span> </div> </div> </dd> <dt> <a name='item30'>[30]</a> <a href ="/abs/1810.00122" title="Abstract" id="1810.00122"> arXiv:1810.00122 </a> [<a href="/pdf/1810.00122" title="Download PDF" id="pdf-1810.00122" aria-labelledby="pdf-1810.00122">pdf</a>, <a href="/format/1810.00122" title="Other formats" id="oth-1810.00122" aria-labelledby="oth-1810.00122">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Quantitative Analysis of the Effect of Batch Normalization on Gradient Descent </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Cai,+Y">Yongqiang Cai</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Li,+Q">Qianxiao Li</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Shen,+Z">Zuowei Shen</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item31'>[31]</a> <a href ="/abs/1810.00123" title="Abstract" id="1810.00123"> arXiv:1810.00123 </a> [<a href="/pdf/1810.00123" title="Download PDF" id="pdf-1810.00123" aria-labelledby="pdf-1810.00123">pdf</a>, <a href="/format/1810.00123" title="Other formats" id="oth-1810.00123" aria-labelledby="oth-1810.00123">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Generalization and Regularization in DQN </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Farebrother,+J">Jesse Farebrother</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Machado,+M+C">Marlos C. Machado</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Bowling,+M">Michael Bowling</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Earlier versions of this work were presented both at the NeurIPS'18 Deep Reinforcement Learning Workshop and the 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM'19) </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Artificial Intelligence (cs.AI); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item32'>[32]</a> <a href ="/abs/1810.00125" title="Abstract" id="1810.00125"> arXiv:1810.00125 </a> [<a href="/pdf/1810.00125" title="Download PDF" id="pdf-1810.00125" aria-labelledby="pdf-1810.00125">pdf</a>, <a href="/format/1810.00125" title="Other formats" id="oth-1810.00125" aria-labelledby="oth-1810.00125">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Towards Better Summarizing Bug Reports with Crowdsourcing Elicited Attributes </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Jiang,+H">He Jiang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Li,+X">Xiaochen Li</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Ren,+Z">Zhilei Ren</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Xuan,+J">Jifeng Xuan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Jin,+Z">Zhi Jin</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted by IEEE Transactions on Reliability </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Software Engineering (cs.SE)</span> </div> </div> </dd> <dt> <a name='item33'>[33]</a> <a href ="/abs/1810.00128" title="Abstract" id="1810.00128"> arXiv:1810.00128 </a> [<a href="/pdf/1810.00128" title="Download PDF" id="pdf-1810.00128" aria-labelledby="pdf-1810.00128">pdf</a>, <a href="/format/1810.00128" title="Other formats" id="oth-1810.00128" aria-labelledby="oth-1810.00128">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Robot Vision: Calibration of Wide-Angle Lens Cameras Using Collinearity Condition and K-Nearest Neighbour Regression </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Chow,+J+C">Jacky C.K. Chow</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Detchev,+I">Ivan Detchev</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Ang,+K">Kathleen Ang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Morin,+K">Kristian Morin</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Mahadevan,+K">Karthik Mahadevan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Louie,+N">Nicholas Louie</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> ISPRS TC I Mid-term Symposium "Innovative Sensing - From Sensors to Methods and Applications", 10-12 October 2018. Karlsruhe, Germany </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-1, 2018, pp. 93-99 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Robotics (cs.RO)</span>; Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Image and Video Processing (eess.IV) </div> </div> </dd> <dt> <a name='item34'>[34]</a> <a href ="/abs/1810.00129" title="Abstract" id="1810.00129"> arXiv:1810.00129 </a> [<a href="/pdf/1810.00129" title="Download PDF" id="pdf-1810.00129" aria-labelledby="pdf-1810.00129">pdf</a>, <a href="/format/1810.00129" title="Other formats" id="oth-1810.00129" aria-labelledby="oth-1810.00129">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Optimization of Circuits for IBM's five-qubit Quantum Computers </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Dueck,+G+W">Gerhard W. Dueck</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Pathak,+A">Anirban Pathak</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Rahman,+M+M">Md Mazder Rahman</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Shukla,+A">Abhishek Shukla</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Banerjee,+A">Anindita Banerjee</a></div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> 21st Euromicro Conference on Digital System Design, Prague, Czech Republic, August 2018, pp. 680-684 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Emerging Technologies (cs.ET)</span>; Quantum Physics (quant-ph) </div> </div> </dd> <dt> <a name='item35'>[35]</a> <a href ="/abs/1810.00132" title="Abstract" id="1810.00132"> arXiv:1810.00132 </a> [<a href="/pdf/1810.00132" title="Download PDF" id="pdf-1810.00132" aria-labelledby="pdf-1810.00132">pdf</a>, <a href="/format/1810.00132" title="Other formats" id="oth-1810.00132" aria-labelledby="oth-1810.00132">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Framework to Support the Trust Process in News and Social Media </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Laufer,+C">Carlos Laufer</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Schwabe,+D">Daniel Schwabe</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 6 pages, 1 figure. Presented at the Semantic Web for Social Good Workshop (SW4SG) at the 17th International Semantic Web Conference (ISWC 2018), Monterey CA </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Social and Information Networks (cs.SI)</span> </div> </div> </dd> <dt> <a name='item36'>[36]</a> <a href ="/abs/1810.00134" title="Abstract" id="1810.00134"> arXiv:1810.00134 </a> [<a href="/pdf/1810.00134" title="Download PDF" id="pdf-1810.00134" aria-labelledby="pdf-1810.00134">pdf</a>, <a href="/format/1810.00134" title="Other formats" id="oth-1810.00134" aria-labelledby="oth-1810.00134">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Graph Partitioning Algorithm with Application in Synthesizing Single Flux Quantum Logic Circuits </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Pasandi,+G">Ghasem Pasandi</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Pedram,+M">Massoud Pedram</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Emerging Technologies (cs.ET)</span> </div> </div> </dd> <dt> <a name='item37'>[37]</a> <a href ="/abs/1810.00135" title="Abstract" id="1810.00135"> arXiv:1810.00135 </a> [<a href="/pdf/1810.00135" title="Download PDF" id="pdf-1810.00135" aria-labelledby="pdf-1810.00135">pdf</a>, <a href="/format/1810.00135" title="Other formats" id="oth-1810.00135" aria-labelledby="oth-1810.00135">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Simple Framework for Stability Analysis of State-Dependent Networks of Heterogeneous Agents </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Etesami,+S+R">S. Rasoul Etesami</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Systems and Control (eess.SY)</span>; Social and Information Networks (cs.SI) </div> </div> </dd> <dt> <a name='item38'>[38]</a> <a href ="/abs/1810.00136" title="Abstract" id="1810.00136"> arXiv:1810.00136 </a> [<a href="/pdf/1810.00136" title="Download PDF" id="pdf-1810.00136" aria-labelledby="pdf-1810.00136">pdf</a>, <a href="/format/1810.00136" title="Other formats" id="oth-1810.00136" aria-labelledby="oth-1810.00136">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> FusedLSTM: Fusing frame-level and video-level features for Content-based Video Relevance Prediction </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Bhalgat,+Y">Yash Bhalgat</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Submission report for the ACMMM CBVRP challenge 2018 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computer Vision and Pattern Recognition (cs.CV)</span> </div> </div> </dd> <dt> <a name='item39'>[39]</a> <a href ="/abs/1810.00139" title="Abstract" id="1810.00139"> arXiv:1810.00139 </a> [<a href="/pdf/1810.00139" title="Download PDF" id="pdf-1810.00139" aria-labelledby="pdf-1810.00139">pdf</a>, <a href="/format/1810.00139" title="Other formats" id="oth-1810.00139" aria-labelledby="oth-1810.00139">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Knowledge-guided Semantic Computing Network </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Shi,+G">Guangming Shi</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhang,+Z">Zhongqiang Zhang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Gao,+D">Dahua Gao</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Xie,+X">Xuemei Xie</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Feng,+Y">Yihao Feng</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Ma,+X">Xinrui Ma</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Liu,+D">Danhua Liu</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 13 pages, 13 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item40'>[40]</a> <a href ="/abs/1810.00140" title="Abstract" id="1810.00140"> arXiv:1810.00140 </a> [<a href="/pdf/1810.00140" title="Download PDF" id="pdf-1810.00140" aria-labelledby="pdf-1810.00140">pdf</a>, <a href="/format/1810.00140" title="Other formats" id="oth-1810.00140" aria-labelledby="oth-1810.00140">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Inferring geometric constraints in human demonstrations </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Subramani,+G">Guru Subramani</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zinn,+M">Michael Zinn</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Gleicher,+M">Michael Gleicher</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 2nd Conference on Robot Learning (CoRL 2018). Accepted. 14 pages, 5 figures </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Proceedings of The 2nd Conference on Robot Learning, PMLR 87:223-236, 2018 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Robotics (cs.RO)</span> </div> </div> </dd> <dt> <a name='item41'>[41]</a> <a href ="/abs/1810.00143" title="Abstract" id="1810.00143"> arXiv:1810.00143 </a> [<a href="/pdf/1810.00143" title="Download PDF" id="pdf-1810.00143" aria-labelledby="pdf-1810.00143">pdf</a>, <a href="/format/1810.00143" title="Other formats" id="oth-1810.00143" aria-labelledby="oth-1810.00143">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Zhou,+Z">Zhiming Zhou</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhang,+Q">Qingru Zhang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lu,+G">Guansong Lu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wang,+H">Hongwei Wang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhang,+W">Weinan Zhang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Yu,+Y">Yong Yu</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Published as a conference paper at ICLR 2019 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item42'>[42]</a> <a href ="/abs/1810.00144" title="Abstract" id="1810.00144"> arXiv:1810.00144 </a> [<a href="/pdf/1810.00144" title="Download PDF" id="pdf-1810.00144" aria-labelledby="pdf-1810.00144">pdf</a>, <a href="/format/1810.00144" title="Other formats" id="oth-1810.00144" aria-labelledby="oth-1810.00144">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Interpreting Adversarial Robustness: A View from Decision Surface in Input Space </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Yu,+F">Fuxun Yu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Liu,+C">Chenchen Liu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wang,+Y">Yanzhi Wang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhao,+L">Liang Zhao</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Chen,+X">Xiang Chen</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 15 pages, submitted to ICLR 2019 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Artificial Intelligence (cs.AI); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item43'>[43]</a> <a href ="/abs/1810.00146" title="Abstract" id="1810.00146"> arXiv:1810.00146 </a> [<a href="/pdf/1810.00146" title="Download PDF" id="pdf-1810.00146" aria-labelledby="pdf-1810.00146">pdf</a>, <a href="/format/1810.00146" title="Other formats" id="oth-1810.00146" aria-labelledby="oth-1810.00146">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Auto-conditioned Recurrent Mixture Density Networks for Learning Generalizable Robot Skills </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Zhang,+H">Hejia Zhang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Heiden,+E">Eric Heiden</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Nikolaidis,+S">Stefanos Nikolaidis</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lim,+J+J">Joseph J. Lim</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Sukhatme,+G+S">Gaurav S. Sukhatme</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Submitted to IROS 2019 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Robotics (cs.RO)</span>; Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item44'>[44]</a> <a href ="/abs/1810.00147" title="Abstract" id="1810.00147"> arXiv:1810.00147 </a> [<a href="/pdf/1810.00147" title="Download PDF" id="pdf-1810.00147" aria-labelledby="pdf-1810.00147">pdf</a>, <a href="/format/1810.00147" title="Other formats" id="oth-1810.00147" aria-labelledby="oth-1810.00147">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> M$^3$RL: Mind-aware Multi-agent Management Reinforcement Learning </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Shu,+T">Tianmin Shu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Tian,+Y">Yuandong Tian</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> ICLR 2019; 18 pages, 12 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Machine Learning (cs.LG); Multiagent Systems (cs.MA); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item45'>[45]</a> <a href ="/abs/1810.00150" title="Abstract" id="1810.00150"> arXiv:1810.00150 </a> [<a href="/pdf/1810.00150" title="Download PDF" id="pdf-1810.00150" aria-labelledby="pdf-1810.00150">pdf</a>, <a href="/format/1810.00150" title="Other formats" id="oth-1810.00150" aria-labelledby="oth-1810.00150">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Directional Analysis of Stochastic Gradient Descent via von Mises-Fisher Distributions in Deep learning </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Lee,+C">Cheolhyoung Lee</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Cho,+K">Kyunghyun Cho</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Kang,+W">Wanmo Kang</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 11 pages (+15 pages for references and supplemental material, total 26 pages), 12 figures, a single table </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item46'>[46]</a> <a href ="/abs/1810.00159" title="Abstract" id="1810.00159"> arXiv:1810.00159 </a> [<a href="/pdf/1810.00159" title="Download PDF" id="pdf-1810.00159" aria-labelledby="pdf-1810.00159">pdf</a>, <a href="/format/1810.00159" title="Other formats" id="oth-1810.00159" aria-labelledby="oth-1810.00159">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Robot eye-hand coordination learning by watching human demonstrations: a task function approximation approach </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Jin,+J">Jun Jin</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Petrich,+L">Laura Petrich</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Dehghan,+M">Masood Dehghan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhang,+Z">Zichen Zhang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Jagersand,+M">Martin Jagersand</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted in ICRA 2019 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Robotics (cs.RO)</span> </div> </div> </dd> <dt> <a name='item47'>[47]</a> <a href ="/abs/1810.00160" title="Abstract" id="1810.00160"> arXiv:1810.00160 </a> [<a href="/pdf/1810.00160" title="Download PDF" id="pdf-1810.00160" aria-labelledby="pdf-1810.00160">pdf</a>, <a href="/format/1810.00160" title="Other formats" id="oth-1810.00160" aria-labelledby="oth-1810.00160">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Quantifier Elimination With Structural Learning </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Goldberg,+E">Eugene Goldberg</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Logic in Computer Science (cs.LO)</span> </div> </div> </dd> <dt> <a name='item48'>[48]</a> <a href ="/abs/1810.00161" title="Abstract" id="1810.00161"> arXiv:1810.00161 </a> [<a href="/pdf/1810.00161" title="Download PDF" id="pdf-1810.00161" aria-labelledby="pdf-1810.00161">pdf</a>, <a href="/format/1810.00161" title="Other formats" id="oth-1810.00161" aria-labelledby="oth-1810.00161">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Pulse: Toward a Smart Campus by Communicating Real-time Wi-Fi Access Data </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Wu,+A">Aoyu Wu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Ku,+B+K">Bon Kyung Ku</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Cheng,+F">Furui Cheng</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Shu,+X">Xinhuan Shu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Puri,+A">Abishek Puri</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wang,+Y">Yifang Wang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Qu,+H">Huamin Qu</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Human-Computer Interaction (cs.HC)</span> </div> </div> </dd> <dt> <a name='item49'>[49]</a> <a href ="/abs/1810.00162" title="Abstract" id="1810.00162"> arXiv:1810.00162 </a> [<a href="/pdf/1810.00162" title="Download PDF" id="pdf-1810.00162" aria-labelledby="pdf-1810.00162">pdf</a>, <a href="/format/1810.00162" title="Other formats" id="oth-1810.00162" aria-labelledby="oth-1810.00162">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> NICE: Noise Injection and Clamping Estimation for Neural Network Quantization </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Baskin,+C">Chaim Baskin</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Liss,+N">Natan Liss</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Chai,+Y">Yoav Chai</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zheltonozhskii,+E">Evgenii Zheltonozhskii</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Schwartz,+E">Eli Schwartz</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Giryes,+R">Raja Giryes</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Mendelson,+A">Avi Mendelson</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Bronstein,+A+M">Alexander M. Bronstein</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computer Vision and Pattern Recognition (cs.CV)</span>; Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item50'>[50]</a> <a href ="/abs/1810.00169" title="Abstract" id="1810.00169"> arXiv:1810.00169 </a> [<a href="/pdf/1810.00169" title="Download PDF" id="pdf-1810.00169" aria-labelledby="pdf-1810.00169">pdf</a>, <a href="/format/1810.00169" title="Other formats" id="oth-1810.00169" aria-labelledby="oth-1810.00169">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> On Minimizing the Completion Times of Long Flows over Inter-Datacenter WAN </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Noormohammadpour,+M">Mohammad Noormohammadpour</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Ajitesh">Ajitesh Srivastava</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Raghavendra,+C+S">Cauligi S. Raghavendra</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted for publication in IEEE Communications Letters </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> IEEE Communications Letters 22 (2018) 2475 - 2478 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Networking and Internet Architecture (cs.NI)</span>; Data Structures and Algorithms (cs.DS); Performance (cs.PF); Systems and Control (eess.SY) </div> </div> </dd> </dl> <div class='paging'>Total of 4176 entries : <span>1-50</span> <a href=/list/cs/2018-10?skip=50&show=50>51-100</a> <a href=/list/cs/2018-10?skip=100&show=50>101-150</a> <a href=/list/cs/2018-10?skip=150&show=50>151-200</a> <span>...</span> <a href=/list/cs/2018-10?skip=4150&show=50>4151-4176</a> </div> <div class='morefewer'>Showing up to 50 entries per page: <a href=/list/cs/2018-10?skip=0&show=25 rel="nofollow"> fewer</a> | <a href=/list/cs/2018-10?skip=0&show=100 rel="nofollow"> more</a> | <a href=/list/cs/2018-10?skip=0&show=2000 rel="nofollow"> all</a> </div> </div> </div> </div> </main> <footer style="clear: both;"> <div class="columns is-desktop" role="navigation" aria-label="Secondary" style="margin: -0.75em -0.75em 0.75em -0.75em">  <div class="column" style="padding: 0;"> <div class="columns"> <div class="column"> <ul style="list-style: none; 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Computer Science Oct 2018