Computer Science Dec 2017

<!DOCTYPE html> <html lang="en"> <head> <title>Computer Science Dec 2017</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/2017-12?skip=0&show=25 rel="nofollow"> fewer</a> | <a href=/list/cs/2017-12?skip=0&show=100 rel="nofollow"> more</a> | <a href=/list/cs/2017-12?skip=0&show=2000 rel="nofollow"> all</a> </div> <dl id='articles'> <dt> <a name='item1'>[1]</a> <a href ="/abs/1712.00003" title="Abstract" id="1712.00003"> arXiv:1712.00003 </a> [<a href="/pdf/1712.00003" title="Download PDF" id="pdf-1712.00003" aria-labelledby="pdf-1712.00003">pdf</a>, <a href="/format/1712.00003" title="Other formats" id="oth-1712.00003" aria-labelledby="oth-1712.00003">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Modeling Information Flow Through Deep Neural Networks </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Chaddad,+A">Ahmad Chaddad</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Naisiri,+B">Behnaz Naisiri</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Pedersoli,+M">Marco Pedersoli</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Granger,+E">Eric Granger</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Desrosiers,+C">Christian Desrosiers</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Toews,+M">Matthew Toews</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='item2'>[2]</a> <a href ="/abs/1712.00004" title="Abstract" id="1712.00004"> arXiv:1712.00004 </a> [<a href="/pdf/1712.00004" title="Download PDF" id="pdf-1712.00004" aria-labelledby="pdf-1712.00004">pdf</a>, <a href="/format/1712.00004" title="Other formats" id="oth-1712.00004" aria-labelledby="oth-1712.00004">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Learnings Options End-to-End for Continuous Action Tasks </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Klissarov,+M">Martin Klissarov</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Bacon,+P">Pierre-Luc Bacon</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Harb,+J">Jean Harb</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Precup,+D">Doina Precup</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Artificial Intelligence (cs.AI) </div> </div> </dd> <dt> <a name='item3'>[3]</a> <a href ="/abs/1712.00006" title="Abstract" id="1712.00006"> arXiv:1712.00006 </a> [<a href="/pdf/1712.00006" title="Download PDF" id="pdf-1712.00006" aria-labelledby="pdf-1712.00006">pdf</a>, <a href="/format/1712.00006" title="Other formats" id="oth-1712.00006" aria-labelledby="oth-1712.00006">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Comparing Deep Reinforcement Learning and Evolutionary Methods in Continuous Control </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Zhang,+S">Shangtong Zhang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zaiane,+O+R">Osmar R. Zaiane</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> NIPS 2017 Deep Reinforcement Learning Symposium </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Artificial Intelligence (cs.AI) </div> </div> </dd> <dt> <a name='item4'>[4]</a> <a href ="/abs/1712.00010" title="Abstract" id="1712.00010"> arXiv:1712.00010 </a> [<a href="/pdf/1712.00010" title="Download PDF" id="pdf-1712.00010" aria-labelledby="pdf-1712.00010">pdf</a>, <a href="/format/1712.00010" title="Other formats" id="oth-1712.00010" aria-labelledby="oth-1712.00010">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Highrisk Prediction from Electronic Medical Records via Deep Attention Networks </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Kim,+Y+J">You Jin Kim</a> (1), <a href="https://arxiv.org/search/cs?searchtype=author&query=Lee,+Y">Yun-Geun Lee</a> (1), <a href="https://arxiv.org/search/cs?searchtype=author&query=Kim,+J+W">Jeong Whun Kim</a> (2), <a href="https://arxiv.org/search/cs?searchtype=author&query=Park,+J+J">Jin Joo Park</a> (2), <a href="https://arxiv.org/search/cs?searchtype=author&query=Ryu,+B">Borim Ryu</a> (2), <a href="https://arxiv.org/search/cs?searchtype=author&query=Ha,+J">Jung-Woo Ha</a> (1) ((1) Clova AI Research, NAVER Corp., (2) Seoul National University Bundang Hospital)</div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted poster at NIPS 2017 Workshop on Machine Learning for Health (<a href="https://ml4health.github.io/2017/" rel="external noopener nofollow" class="link-external link-https">this https URL</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='item5'>[5]</a> <a href ="/abs/1712.00028" title="Abstract" id="1712.00028"> arXiv:1712.00028 </a> [<a href="/pdf/1712.00028" title="Download PDF" id="pdf-1712.00028" aria-labelledby="pdf-1712.00028">pdf</a>, <a href="/format/1712.00028" title="Other formats" id="oth-1712.00028" aria-labelledby="oth-1712.00028">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Feature discovery and visualization of robot mission data using convolutional autoencoders and Bayesian nonparametric topic models </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Flaspohler,+G">Genevieve Flaspohler</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Roy,+N">Nicholas Roy</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Girdhar,+Y">Yogesh Girdhar</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 8 pages </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='item6'>[6]</a> <a href ="/abs/1712.00030" title="Abstract" id="1712.00030"> arXiv:1712.00030 </a> [<a href="/pdf/1712.00030" title="Download PDF" id="pdf-1712.00030" aria-labelledby="pdf-1712.00030">pdf</a>, <a href="/format/1712.00030" title="Other formats" id="oth-1712.00030" aria-labelledby="oth-1712.00030">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Resource Sharing of a Computing Access Point for Multi-user Mobile Cloud Offloading with Delay Constraints </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Chen,+M">Meng-Hsi Chen</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Dong,+M">Min Dong</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Liang,+B">Ben Liang</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> in IEEE Transactions on Mobile Computing, 2018 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Information Theory (cs.IT)</span> </div> </div> </dd> <dt> <a name='item7'>[7]</a> <a href ="/abs/1712.00032" title="Abstract" id="1712.00032"> arXiv:1712.00032 </a> [<a href="/pdf/1712.00032" title="Download PDF" id="pdf-1712.00032" aria-labelledby="pdf-1712.00032">pdf</a>, <a href="/format/1712.00032" title="Other formats" id="oth-1712.00032" aria-labelledby="oth-1712.00032">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Paris-Lille-3D: a large and high-quality ground truth urban point cloud dataset for automatic segmentation and classification </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Roynard,+X">Xavier Roynard</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Deschaud,+J">Jean-Emmanuel Deschaud</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Goulette,+F">Fran莽ois Goulette</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> preprint </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Computer Vision and Pattern Recognition (cs.CV); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item8'>[8]</a> <a href ="/abs/1712.00036" title="Abstract" id="1712.00036"> arXiv:1712.00036 </a> [<a href="/pdf/1712.00036" title="Download PDF" id="pdf-1712.00036" aria-labelledby="pdf-1712.00036">pdf</a>, <a href="/format/1712.00036" title="Other formats" id="oth-1712.00036" aria-labelledby="oth-1712.00036">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Sun,+K">Ke Sun</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Mohta,+K">Kartik Mohta</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Pfrommer,+B">Bernd Pfrommer</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Watterson,+M">Michael Watterson</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Liu,+S">Sikang Liu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Mulgaonkar,+Y">Yash Mulgaonkar</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Taylor,+C+J">Camillo J. Taylor</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Kumar,+V">Vijay Kumar</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Submitted to RAL and ICRA 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='item9'>[9]</a> <a href ="/abs/1712.00043" title="Abstract" id="1712.00043"> arXiv:1712.00043 </a> [<a href="/pdf/1712.00043" title="Download PDF" id="pdf-1712.00043" aria-labelledby="pdf-1712.00043">pdf</a>, <a href="/format/1712.00043" title="Other formats" id="oth-1712.00043" aria-labelledby="oth-1712.00043">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Color Intensity Invariant Low Level Feature Optimization Framework for Image Quality Assessment </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Kottayil,+N+K">Navaneeth K. Kottayil</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Cheng,+I">Irene Cheng</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Dufaux,+F">Frederic Dufaux</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Basu,+A">Anup Basu</a></div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Signal, Image and Video Processing 10.6 (2016):1169-1176 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Multimedia (cs.MM)</span> </div> </div> </dd> <dt> <a name='item10'>[10]</a> <a href ="/abs/1712.00044" title="Abstract" id="1712.00044"> arXiv:1712.00044 </a> [<a href="/pdf/1712.00044" title="Download PDF" id="pdf-1712.00044" aria-labelledby="pdf-1712.00044">pdf</a>, <a href="/format/1712.00044" title="Other formats" id="oth-1712.00044" aria-labelledby="oth-1712.00044">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Graph Centrality Measures for Boosting Popularity-Based Entity Linking </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Hamdan,+H">Hussam Hamdan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Ganascia,+J">Jean-Gabriel Ganascia</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation and Language (cs.CL)</span>; Information Retrieval (cs.IR); Social and Information Networks (cs.SI) </div> </div> </dd> <dt> <a name='item11'>[11]</a> <a href ="/abs/1712.00048" title="Abstract" id="1712.00048"> arXiv:1712.00048 </a> [<a href="/pdf/1712.00048" title="Download PDF" id="pdf-1712.00048" aria-labelledby="pdf-1712.00048">pdf</a>, <a href="/format/1712.00048" title="Other formats" id="oth-1712.00048" aria-labelledby="oth-1712.00048">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Investigation of Gaze Patterns in Multi View Laparoscopic Surgery </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Kottayil,+N+K">Navaneeth Kamballur Kottayil</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Bogdanova,+R">Rositsa Bogdanova</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Cheng,+I">Irene Cheng</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Basu,+A">Anup Basu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zheng,+B">Bin Zheng</a></div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> 38th Annual International Conference of the IEEE EMBC, Orlando, FL, 2016, pp. 4031-4034 </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='item12'>[12]</a> <a href ="/abs/1712.00049" title="Abstract" id="1712.00049"> arXiv:1712.00049 </a> [<a href="/pdf/1712.00049" title="Download PDF" id="pdf-1712.00049" aria-labelledby="pdf-1712.00049">pdf</a>, <a href="/format/1712.00049" title="Other formats" id="oth-1712.00049" aria-labelledby="oth-1712.00049">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Integrated Nanophotonics Architecture for Residue Number System Arithmetic </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Peng,+J">Jiaxin Peng</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Sun,+S">Shuai Sun</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Narayana,+V+K">Vikram K. Narayana</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Sorger,+V+J">Volker J. Sorger</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=El-Ghazawi,+T">Tarek El-Ghazawi</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 7 pages, 5 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Emerging Technologies (cs.ET)</span>; Optics (physics.optics) </div> </div> </dd> <dt> <a name='item13'>[13]</a> <a href ="/abs/1712.00064" title="Abstract" id="1712.00064"> arXiv:1712.00064 </a> [<a href="/pdf/1712.00064" title="Download PDF" id="pdf-1712.00064" aria-labelledby="pdf-1712.00064">pdf</a>, <a href="/format/1712.00064" title="Other formats" id="oth-1712.00064" aria-labelledby="oth-1712.00064">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Short-term Intervention for Long-term Fairness in the Labor Market </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Hu,+L">Lily Hu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Chen,+Y">Yiling Chen</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 10 pages </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computer Science and Game Theory (cs.GT)</span>; General Finance (q-fin.GN) </div> </div> </dd> <dt> <a name='item14'>[14]</a> <a href ="/abs/1712.00069" title="Abstract" id="1712.00069"> arXiv:1712.00069 </a> [<a href="/pdf/1712.00069" title="Download PDF" id="pdf-1712.00069" aria-labelledby="pdf-1712.00069">pdf</a>, <a href="/format/1712.00069" title="Other formats" id="oth-1712.00069" aria-labelledby="oth-1712.00069">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> On the importance of normative data in speech-based assessment </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Noorian,+Z">Zeinab Noorian</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Pou-Prom,+C">Chlo茅 Pou-Prom</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Rudzicz,+F">Frank Rudzicz</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation and Language (cs.CL)</span> </div> </div> </dd> <dt> <a name='item15'>[15]</a> <a href ="/abs/1712.00075" title="Abstract" id="1712.00075"> arXiv:1712.00075 </a> [<a href="/pdf/1712.00075" title="Download PDF" id="pdf-1712.00075" aria-labelledby="pdf-1712.00075">pdf</a>, <a href="/format/1712.00075" title="Other formats" id="oth-1712.00075" aria-labelledby="oth-1712.00075">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Multi-Channel CNN-based Object Detection for Enhanced Situation Awareness </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Liu,+S">Shuo Liu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Liu,+Z">Zheng Liu</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Published at the Sensors & Electronics Technology (SET) panel Symposium SET-241 on 9th NATO Military Sensing Symposium </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='item16'>[16]</a> <a href ="/abs/1712.00076" title="Abstract" id="1712.00076"> arXiv:1712.00076 </a> [<a href="/pdf/1712.00076" title="Download PDF" id="pdf-1712.00076" aria-labelledby="pdf-1712.00076">pdf</a>, <a href="/format/1712.00076" title="Other formats" id="oth-1712.00076" aria-labelledby="oth-1712.00076">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Machine Learning and Manycore Systems Design: A Serendipitous Symbiosis </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Kim,+R+G">Ryan Gary Kim</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Doppa,+J+R">Janardhan Rao Doppa</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Pande,+P+P">Partha Pratim Pande</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Marculescu,+D">Diana Marculescu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Marculescu,+R">Radu Marculescu</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> To appear in a future publication of IEEE Computer </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Hardware Architecture (cs.AR) </div> </div> </dd> <dt> <a name='item17'>[17]</a> <a href ="/abs/1712.00078" title="Abstract" id="1712.00078"> arXiv:1712.00078 </a> [<a href="/pdf/1712.00078" title="Download PDF" id="pdf-1712.00078" aria-labelledby="pdf-1712.00078">pdf</a>, <a href="/format/1712.00078" title="Other formats" id="oth-1712.00078" aria-labelledby="oth-1712.00078">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Mining Precision Interfaces From Query Logs </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Zhang,+H">Haoci Zhang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Sellam,+T">Thibault Sellam</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wu,+E">Eugene Wu</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Databases (cs.DB)</span> </div> </div> </dd> <dt> <a name='item18'>[18]</a> <a href ="/abs/1712.00080" title="Abstract" id="1712.00080"> arXiv:1712.00080 </a> [<a href="/pdf/1712.00080" title="Download PDF" id="pdf-1712.00080" aria-labelledby="pdf-1712.00080">pdf</a>, <a href="/format/1712.00080" title="Other formats" id="oth-1712.00080" aria-labelledby="oth-1712.00080">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Jiang,+H">Huaizu Jiang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Sun,+D">Deqing Sun</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Jampani,+V">Varun Jampani</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Yang,+M">Ming-Hsuan Yang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Learned-Miller,+E">Erik Learned-Miller</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Kautz,+J">Jan Kautz</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> CVPR 2018 version with minor revisions and supplementary material included. Project page <a href="http://jianghz.me/projects/superslomo" rel="external noopener nofollow" class="link-external link-http">this http URL</a> </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> CVPR 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='item19'>[19]</a> <a href ="/abs/1712.00088" title="Abstract" id="1712.00088"> arXiv:1712.00088 </a> [<a href="/pdf/1712.00088" title="Download PDF" id="pdf-1712.00088" aria-labelledby="pdf-1712.00088">pdf</a>, <a href="/format/1712.00088" title="Other formats" id="oth-1712.00088" aria-labelledby="oth-1712.00088">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> The Effect of Focal Distance, Age, and Brightness on Near-Field Augmented Reality Depth Matching </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Singh,+G">Gujot Singh</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Ellis,+S+R">Stephen R. Ellis</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Swan,+J+E">J. Edward Swan II</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 14 pages, 18 figures </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='item20'>[20]</a> <a href ="/abs/1712.00093" title="Abstract" id="1712.00093"> arXiv:1712.00093 </a> [<a href="/pdf/1712.00093" title="Download PDF" id="pdf-1712.00093" aria-labelledby="pdf-1712.00093">pdf</a>, <a href="/format/1712.00093" title="Other formats" id="oth-1712.00093" aria-labelledby="oth-1712.00093">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Residential Energy Storage Management with Bidirectional Energy Control </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Li,+T">Tianyi Li</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Dong,+M">Min Dong</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> to appear IEEE Transactions on Smart Grid </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='item21'>[21]</a> <a href ="/abs/1712.00097" title="Abstract" id="1712.00097"> arXiv:1712.00097 </a> [<a href="/pdf/1712.00097" title="Download PDF" id="pdf-1712.00097" aria-labelledby="pdf-1712.00097">pdf</a>, <a href="/format/1712.00097" title="Other formats" id="oth-1712.00097" aria-labelledby="oth-1712.00097">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Budget-Aware Activity Detection with A Recurrent Policy Network </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Mahasseni,+B">Behrooz Mahasseni</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Yang,+X">Xiaodong Yang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Molchanov,+P">Pavlo Molchanov</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Kautz,+J">Jan Kautz</a></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='item22'>[22]</a> <a href ="/abs/1712.00099" title="Abstract" id="1712.00099"> arXiv:1712.00099 </a> [<a href="/pdf/1712.00099" title="Download PDF" id="pdf-1712.00099" aria-labelledby="pdf-1712.00099">pdf</a>, <a href="/format/1712.00099" title="Other formats" id="oth-1712.00099" aria-labelledby="oth-1712.00099">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Dynamic MRI Reconstruction from Undersampled Data with an Anatomical Prescan </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Rasch,+J">Julian Rasch</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Kolehmainen,+V">Ville Kolehmainen</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Nivaj%C3%A4rvi,+R">Riikka Nivaj盲rvi</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Kettunen,+M">Mikko Kettunen</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Gr%C3%B6hn,+O">Olli Gr枚hn</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Burger,+M">Martin Burger</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Brinkmann,+E">Eva-Maria Brinkmann</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Numerical Analysis (math.NA)</span> </div> </div> </dd> <dt> <a name='item23'>[23]</a> <a href ="/abs/1712.00100" title="Abstract" id="1712.00100"> arXiv:1712.00100 </a> [<a href="/pdf/1712.00100" title="Download PDF" id="pdf-1712.00100" aria-labelledby="pdf-1712.00100">pdf</a>, <a href="/format/1712.00100" title="Other formats" id="oth-1712.00100" aria-labelledby="oth-1712.00100">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Virtualized Control over Fog: Interplay Between Reliability and Latency </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Inaltekin,+H">Hazer Inaltekin</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Gorlatova,+M">Maria Gorlatova</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Chiang,+M">Mung Chiang</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Information Theory (cs.IT)</span> </div> </div> </dd> <dt> <a name='item24'>[24]</a> <a href ="/abs/1712.00108" title="Abstract" id="1712.00108"> arXiv:1712.00108 </a> [<a href="/pdf/1712.00108" title="Download PDF" id="pdf-1712.00108" aria-labelledby="pdf-1712.00108">pdf</a>, <a href="/format/1712.00108" title="Other formats" id="oth-1712.00108" aria-labelledby="oth-1712.00108">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Graph Distillation for Action Detection with Privileged Modalities </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Luo,+Z">Zelun Luo</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Hsieh,+J">Jun-Ting Hsieh</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Jiang,+L">Lu Jiang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Niebles,+J+C">Juan Carlos Niebles</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Fei-Fei,+L">Li Fei-Fei</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> ECCV 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='item25'>[25]</a> <a href ="/abs/1712.00110" title="Abstract" id="1712.00110"> arXiv:1712.00110 </a> [<a href="/pdf/1712.00110" title="Download PDF" id="pdf-1712.00110" aria-labelledby="pdf-1712.00110">pdf</a>, <a href="/format/1712.00110" title="Other formats" id="oth-1712.00110" aria-labelledby="oth-1712.00110">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Semantic Photometric Bundle Adjustment on Natural Sequences </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Zhu,+R">Rui Zhu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wang,+C">Chaoyang Wang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lin,+C">Chen-Hsuan Lin</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wang,+Z">Ziyan Wang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lucey,+S">Simon Lucey</a></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='item26'>[26]</a> <a href ="/abs/1712.00111" title="Abstract" id="1712.00111"> arXiv:1712.00111 </a> [<a href="/pdf/1712.00111" title="Download PDF" id="pdf-1712.00111" aria-labelledby="pdf-1712.00111">pdf</a>, <a href="/format/1712.00111" title="Other formats" id="oth-1712.00111" aria-labelledby="oth-1712.00111">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Blind Gain and Phase Calibration via Sparse Spectral Methods </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Li,+Y">Yanjun Li</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lee,+K">Kiryung Lee</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Bresler,+Y">Yoram Bresler</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 28 pages, 11 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Information Theory (cs.IT)</span>; Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item27'>[27]</a> <a href ="/abs/1712.00132" title="Abstract" id="1712.00132"> arXiv:1712.00132 </a> [<a href="/pdf/1712.00132" title="Download PDF" id="pdf-1712.00132" aria-labelledby="pdf-1712.00132">pdf</a>, <a href="/format/1712.00132" title="Other formats" id="oth-1712.00132" aria-labelledby="oth-1712.00132">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Numerical Artifacts in the Discontinuous Generalized Porous Medium Equation: How to Avoid Spurious Temporal Oscillations </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Maddix,+D">Danielle Maddix</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Sampaio,+L">Luiz Sampaio</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Gerritsen,+M">Margot Gerritsen</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted, Journal of Computational Physics </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Journal of Computational Physics, 368C (2018) pp. 277-298 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Numerical Analysis (math.NA)</span> </div> </div> </dd> <dt> <a name='item28'>[28]</a> <a href ="/abs/1712.00133" title="Abstract" id="1712.00133"> arXiv:1712.00133 </a> [<a href="/pdf/1712.00133" title="Download PDF" id="pdf-1712.00133" aria-labelledby="pdf-1712.00133">pdf</a>, <a href="/format/1712.00133" title="Other formats" id="oth-1712.00133" aria-labelledby="oth-1712.00133">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Video retrieval based on deep convolutional neural network </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Dong,+Y">Yj Dong</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Li,+J">JG Li</a></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='item29'>[29]</a> <a href ="/abs/1712.00139" title="Abstract" id="1712.00139"> arXiv:1712.00139 </a> [<a href="/pdf/1712.00139" title="Download PDF" id="pdf-1712.00139" aria-labelledby="pdf-1712.00139">pdf</a>, <a href="/format/1712.00139" title="Other formats" id="oth-1712.00139" aria-labelledby="oth-1712.00139">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> The Size Conundrum: Why Online Knowledge Markets Can Fail at Scale </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Dev,+H">Himel Dev</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Geigle,+C">Chase Geigle</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Hu,+Q">Qingtao Hu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zheng,+J">Jiahui Zheng</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Sundaram,+H">Hari Sundaram</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> The 27th International Conference on World Wide Web (WWW), 2018 </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='item30'>[30]</a> <a href ="/abs/1712.00146" title="Abstract" id="1712.00146"> arXiv:1712.00146 </a> [<a href="/pdf/1712.00146" title="Download PDF" id="pdf-1712.00146" aria-labelledby="pdf-1712.00146">pdf</a>, <a href="/format/1712.00146" title="Other formats" id="oth-1712.00146" aria-labelledby="oth-1712.00146">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Wi-Fi CSI based Behavior Recognition: From Signals, Actions to Activities </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Wang,+Z">Zhu Wang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Guo,+B">Bin Guo</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Yu,+Z">Zhiwen Yu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhou,+X">Xingshe Zhou</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 10 pages, 3 figures, 3 tables, IEEE Communications Magazine, 2017 </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='item31'>[31]</a> <a href ="/abs/1712.00157" title="Abstract" id="1712.00157"> arXiv:1712.00157 </a> [<a href="/pdf/1712.00157" title="Download PDF" id="pdf-1712.00157" aria-labelledby="pdf-1712.00157">pdf</a>, <a href="/format/1712.00157" title="Other formats" id="oth-1712.00157" aria-labelledby="oth-1712.00157">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Fundamental Limits on Data Acquisition: Trade-offs between Sample Complexity and Query Difficulty </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Chung,+H+W">Hye Won Chung</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lee,+J+O">Ji Oon Lee</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Hero,+A+O">Alfred O. Hero</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Information Theory (cs.IT)</span>; Signal Processing (eess.SP) </div> </div> </dd> <dt> <a name='item32'>[32]</a> <a href ="/abs/1712.00158" title="Abstract" id="1712.00158"> arXiv:1712.00158 </a> [<a href="/pdf/1712.00158" title="Download PDF" id="pdf-1712.00158" aria-labelledby="pdf-1712.00158">pdf</a>, <a href="/format/1712.00158" title="Other formats" id="oth-1712.00158" aria-labelledby="oth-1712.00158">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Distance-based Camera Network Topology Inference for Person Re-identification </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Cho,+Y">Yeong-Jun Cho</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Yoon,+K">Kuk-Jin Yoon</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 10 pages, 11 figures </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Pattern recognition letters-2019 </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='item33'>[33]</a> <a href ="/abs/1712.00162" title="Abstract" id="1712.00162"> arXiv:1712.00162 </a> [<a href="/pdf/1712.00162" title="Download PDF" id="pdf-1712.00162" aria-labelledby="pdf-1712.00162">pdf</a>, <a href="/format/1712.00162" title="Other formats" id="oth-1712.00162" aria-labelledby="oth-1712.00162">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Deep-Reinforcement Learning Multiple Access for Heterogeneous Wireless Networks </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Yu,+Y">Yiding Yu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wang,+T">Taotao Wang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Liew,+S+C">Soung Chang Liew</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='item34'>[34]</a> <a href ="/abs/1712.00164" title="Abstract" id="1712.00164"> arXiv:1712.00164 </a> [<a href="/pdf/1712.00164" title="Download PDF" id="pdf-1712.00164" aria-labelledby="pdf-1712.00164">pdf</a>, <a href="/format/1712.00164" title="Other formats" id="oth-1712.00164" aria-labelledby="oth-1712.00164">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods for Predicting Drug-Induced Laboratory Test Trajectories </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Yahi,+A">Alexandre Yahi</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Vanguri,+R">Rami Vanguri</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Elhadad,+N">No茅mie Elhadad</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Tatonetti,+N+P">Nicholas P. Tatonetti</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> NIPS ML4H 2017 </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='item35'>[35]</a> <a href ="/abs/1712.00165" title="Abstract" id="1712.00165"> arXiv:1712.00165 </a> [<a href="/pdf/1712.00165" title="Download PDF" id="pdf-1712.00165" aria-labelledby="pdf-1712.00165">pdf</a>, <a href="/format/1712.00165" title="Other formats" id="oth-1712.00165" aria-labelledby="oth-1712.00165">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Capacity-Achievability of Polar Codes and Precoded Polar Codes under List Decoding: They are Good both Practically and Theoretically </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Li,+Z">Zhuo Li</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Xing,+L">Lijuan Xing</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Shen,+B">Ba-Zhong Shen</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 11 pages, no figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Information Theory (cs.IT)</span> </div> </div> </dd> <dt> <a name='item36'>[36]</a> <a href ="/abs/1712.00166" title="Abstract" id="1712.00166"> arXiv:1712.00166 </a> [<a href="/pdf/1712.00166" title="Download PDF" id="pdf-1712.00166" aria-labelledby="pdf-1712.00166">pdf</a>, <a href="/format/1712.00166" title="Other formats" id="oth-1712.00166" aria-labelledby="oth-1712.00166">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Audio Cover Song Identification using Convolutional Neural Network </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Chang,+S">Sungkyun Chang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lee,+J">Juheon Lee</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Choe,+S+K">Sang Keun Choe</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lee,+K">Kyogu Lee</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> NIPS 2017 Workshop on Machine Learning for Audio (ML4A), Long Beach, CA, USA </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Sound (cs.SD)</span>; Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Audio and Speech Processing (eess.AS) </div> </div> </dd> <dt> <a name='item37'>[37]</a> <a href ="/abs/1712.00170" title="Abstract" id="1712.00170"> arXiv:1712.00170 </a> [<a href="/pdf/1712.00170" title="Download PDF" id="pdf-1712.00170" aria-labelledby="pdf-1712.00170">pdf</a>, <a href="/format/1712.00170" title="Other formats" id="oth-1712.00170" aria-labelledby="oth-1712.00170">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Text Generation Based on Generative Adversarial Nets with Latent Variable </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Wang,+H">Heng Wang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Qin,+Z">Zengchang Qin</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wan,+T">Tao Wan</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation and Language (cs.CL)</span> </div> </div> </dd> <dt> <a name='item38'>[38]</a> <a href ="/abs/1712.00171" title="Abstract" id="1712.00171"> arXiv:1712.00171 </a> [<a href="/pdf/1712.00171" title="Download PDF" id="pdf-1712.00171" aria-labelledby="pdf-1712.00171">pdf</a>, <a href="/format/1712.00171" title="Other formats" id="oth-1712.00171" aria-labelledby="oth-1712.00171">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Speaker identification from the sound of the human breath </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Zhao,+W">Wenbo Zhao</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Gao,+Y">Yang Gao</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Singh,+R">Rita Singh</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 5 pages, 3 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Sound (cs.SD)</span>; Audio and Speech Processing (eess.AS); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item39'>[39]</a> <a href ="/abs/1712.00175" title="Abstract" id="1712.00175"> arXiv:1712.00175 </a> [<a href="/pdf/1712.00175" title="Download PDF" id="pdf-1712.00175" aria-labelledby="pdf-1712.00175">pdf</a>, <a href="/format/1712.00175" title="Other formats" id="oth-1712.00175" aria-labelledby="oth-1712.00175">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Learning Depth from Monocular Videos using Direct Methods </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Wang,+C">Chaoyang Wang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Buenaposada,+J+M">Jose Miguel Buenaposada</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhu,+R">Rui Zhu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lucey,+S">Simon Lucey</a></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='item40'>[40]</a> <a href ="/abs/1712.00180" title="Abstract" id="1712.00180"> arXiv:1712.00180 </a> [<a href="/pdf/1712.00180" title="Download PDF" id="pdf-1712.00180" aria-labelledby="pdf-1712.00180">pdf</a>, <a href="/format/1712.00180" title="Other formats" id="oth-1712.00180" aria-labelledby="oth-1712.00180">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> New Techniques for Inferring L-Systems Using Genetic Algorithm </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Bernard,+J">Jason Bernard</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=McQuillan,+I">Ian McQuillan</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 18 pages. 2 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span> </div> </div> </dd> <dt> <a name='item41'>[41]</a> <a href ="/abs/1712.00181" title="Abstract" id="1712.00181"> arXiv:1712.00181 </a> [<a href="/pdf/1712.00181" title="Download PDF" id="pdf-1712.00181" aria-labelledby="pdf-1712.00181">pdf</a>, <a href="/format/1712.00181" title="Other formats" id="oth-1712.00181" aria-labelledby="oth-1712.00181">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Personalized Gaussian Processes for Future Prediction of Alzheimer's Disease Progression </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Peterson,+K">Kelly Peterson</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Rudovic,+O">Ognjen Rudovic</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Guerrero,+R">Ricardo Guerrero</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Picard,+R+W">Rosalind W. Picard</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 13 pages </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Quantitative Methods (q-bio.QM); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item42'>[42]</a> <a href ="/abs/1712.00184" title="Abstract" id="1712.00184"> arXiv:1712.00184 </a> [<a href="/pdf/1712.00184" title="Download PDF" id="pdf-1712.00184" aria-labelledby="pdf-1712.00184">pdf</a>, <a href="/format/1712.00184" title="Other formats" id="oth-1712.00184" aria-labelledby="oth-1712.00184">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Inertial-aided Rolling Shutter Relative Pose Estimation </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Lee,+C">Chang-Ryeol Lee</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Yoon,+K">Kuk-Jin Yoon</a></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='item43'>[43]</a> <a href ="/abs/1712.00185" title="Abstract" id="1712.00185"> arXiv:1712.00185 </a> [<a href="/pdf/1712.00185" title="Download PDF" id="pdf-1712.00185" aria-labelledby="pdf-1712.00185">pdf</a>, <a href="/format/1712.00185" title="Other formats" id="oth-1712.00185" aria-labelledby="oth-1712.00185">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Rank of Experts: Detection Network Ensemble </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Bae,+S">Seung-Hwan Bae</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lee,+Y">Youngwan Lee</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Jo,+Y">Youngjoo Jo</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Bae,+Y">Yuseok Bae</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Hwang,+J">Joong-won Hwang</a></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='item44'>[44]</a> <a href ="/abs/1712.00190" title="Abstract" id="1712.00190"> arXiv:1712.00190 </a> [<a href="/pdf/1712.00190" title="Download PDF" id="pdf-1712.00190" aria-labelledby="pdf-1712.00190">pdf</a>, <a href="/format/1712.00190" title="Other formats" id="oth-1712.00190" aria-labelledby="oth-1712.00190">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Modeling the Multiple Sclerosis Brain Disease Using Agents: What Works and What Doesn't? </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Muqaddas,+A">Ayesha Muqaddas</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Niazi,+M+A">Muaz A. Niazi</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 69 pages </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Multiagent Systems (cs.MA)</span>; Software Engineering (cs.SE); Social and Information Networks (cs.SI); Adaptation and Self-Organizing Systems (nlin.AO); Neurons and Cognition (q-bio.NC) </div> </div> </dd> <dt> <a name='item45'>[45]</a> <a href ="/abs/1712.00192" title="Abstract" id="1712.00192"> arXiv:1712.00192 </a> [<a href="/pdf/1712.00192" title="Download PDF" id="pdf-1712.00192" aria-labelledby="pdf-1712.00192">pdf</a>, <a href="/format/1712.00192" title="Other formats" id="oth-1712.00192" aria-labelledby="oth-1712.00192">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Delineation of Skin Strata in Reflectance Confocal Microscopy Images using Recurrent Convolutional Networks with Toeplitz Attention </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Bozkurt,+A">Alican Bozkurt</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Kose,+K">Kivanc Kose</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Coll-Font,+J">Jaume Coll-Font</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Alessi-Fox,+C">Christi Alessi-Fox</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Brooks,+D+H">Dana H. Brooks</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Dy,+J+G">Jennifer G. Dy</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Rajadhyaksha,+M">Milind Rajadhyaksha</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted for ML4H Workshop at NIPS 2017 </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='item46'>[46]</a> <a href ="/abs/1712.00193" title="Abstract" id="1712.00193"> arXiv:1712.00193 </a> [<a href="/pdf/1712.00193" title="Download PDF" id="pdf-1712.00193" aria-labelledby="pdf-1712.00193">pdf</a>, <a href="/format/1712.00193" title="Other formats" id="oth-1712.00193" aria-labelledby="oth-1712.00193">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> InclusiveFaceNet: Improving Face Attribute Detection with Race and Gender Diversity </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Ryu,+H+J">Hee Jung Ryu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Adam,+H">Hartwig Adam</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Mitchell,+M">Margaret Mitchell</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Presented as a talk at the 2018 Workshop on Fairness, Accountability, and Transparency in Machine Learning (FAT/ML 2018) </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computer Vision and Pattern Recognition (cs.CV)</span>; Artificial Intelligence (cs.AI) </div> </div> </dd> <dt> <a name='item47'>[47]</a> <a href ="/abs/1712.00195" title="Abstract" id="1712.00195"> arXiv:1712.00195 </a> [<a href="/pdf/1712.00195" title="Download PDF" id="pdf-1712.00195" aria-labelledby="pdf-1712.00195">pdf</a>, <a href="/format/1712.00195" title="Other formats" id="oth-1712.00195" aria-labelledby="oth-1712.00195">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> 3D Facial Action Units Recognition for Emotional Expression </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Hussain,+N">N. Hussain</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Ujir,+H">H. Ujir</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Hipiny,+I">I. Hipiny</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Minoi,+J">J-L Minoi</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> To be published in Advanced Science Letters Volume 24 (ICCSE2017) </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='item48'>[48]</a> <a href ="/abs/1712.00201" title="Abstract" id="1712.00201"> arXiv:1712.00201 </a> [<a href="/pdf/1712.00201" title="Download PDF" id="pdf-1712.00201" aria-labelledby="pdf-1712.00201">pdf</a>, <a href="/format/1712.00201" title="Other formats" id="oth-1712.00201" aria-labelledby="oth-1712.00201">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Zhu,+Z">Zhuotun Zhu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Xia,+Y">Yingda Xia</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Shen,+W">Wei Shen</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Fishman,+E+K">Elliot K. Fishman</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Yuille,+A+L">Alan L. Yuille</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 9 pages, 4 figures, Accepted to 3DV </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='item49'>[49]</a> <a href ="/abs/1712.00202" title="Abstract" id="1712.00202"> arXiv:1712.00202 </a> [<a href="/pdf/1712.00202" title="Download PDF" id="pdf-1712.00202" aria-labelledby="pdf-1712.00202">pdf</a>, <a href="/format/1712.00202" title="Other formats" id="oth-1712.00202" aria-labelledby="oth-1712.00202">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> InverseNet: Solving Inverse Problems with Splitting Networks </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Fan,+K">Kai Fan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wei,+Q">Qi Wei</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wang,+W">Wenlin Wang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Chakraborty,+A">Amit Chakraborty</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Heller,+K">Katherine Heller</a></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='item50'>[50]</a> <a href ="/abs/1712.00206" title="Abstract" id="1712.00206"> arXiv:1712.00206 </a> [<a href="/pdf/1712.00206" title="Download PDF" id="pdf-1712.00206" aria-labelledby="pdf-1712.00206">pdf</a>, <a href="/format/1712.00206" title="Other formats" id="oth-1712.00206" aria-labelledby="oth-1712.00206">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Distributed Stratified Locality Sensitive Hashing for Critical Event Prediction in the Cloud </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=De+Palma,+A">Alessandro De Palma</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Hemberg,+E">Erik Hemberg</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=O'Reilly,+U">Una-May O'Reilly</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted poster at NIPS 2017 Workshop on Machine Learning for Health (<a href="https://ml4health.github.io/2017/" rel="external noopener nofollow" class="link-external link-https">this https URL</a>) </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span> </div> </div> </dd> </dl> <div class='paging'>Total of 2610 entries : <span>1-50</span> <a href=/list/cs/2017-12?skip=50&show=50>51-100</a> <a href=/list/cs/2017-12?skip=100&show=50>101-150</a> <a href=/list/cs/2017-12?skip=150&show=50>151-200</a> <span>...</span> <a href=/list/cs/2017-12?skip=2600&show=50>2601-2610</a> </div> <div class='morefewer'>Showing up to 50 entries per page: <a href=/list/cs/2017-12?skip=0&show=25 rel="nofollow"> fewer</a> | <a href=/list/cs/2017-12?skip=0&show=100 rel="nofollow"> more</a> | <a href=/list/cs/2017-12?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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