MLSS 2015 Kyoto

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 +<ul class="​uk-tab"​ data-uk-tab data-uk-switcher="​{connect:'#​poster'​}">​ 
 +    <li class="​uk-active"><​a href="">​Aug. 26</​a></​li>​ 
 +    <​li><​a href="">​Aug. 27</​a></​li>​ 
 +    <​li><​a href="">​Aug. 28</​a></​li>​ 
 +    <​li><​a href="">​Sep. 1</​a></​li>​ 
 +    <​li><​a href="">​Sep. 3</​a></​li>​ 
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 + <ul id="​poster"​ class="​uk-switcher">​ 
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 + <​td class="​uk-width-1-10 uk-text-bold">​ID</​td>​ 
 + <​td class="​uk-width-1-10 uk-text-bold">​Poster ID</​td>​ 
 + <​td class="​uk-width-1-10 uk-text-bold">​Author</​td>​ 
 + <​td class="​uk-width-7-10">​Title</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​433</​td>​ 
 + <​td>​26-1</​td>​ 
 + <​td>​Koh Takeuchi</​td>​ 
 + <​td>​Higher Order Fused Regularization for Supervised Learning with Grouped Parameters</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​141</​td>​ 
 + <​td>​26-2</​td>​ 
 + <​td>​Hideko Kawakubo</​td>​ 
 + <​td>​Coping with Class Balance Change in Classification:​ Class-Prior Estimation with Energy Distance</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​14</​td>​ 
 + <​td>​26-3</​td>​ 
 + <​td>​Yaser Souri</​td>​ 
 + <​td>​Bird Part Localization with Random Forest on Deep Features for Fine-grained Classification</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​17</​td>​ 
 + <​td>​26-4</​td>​ 
 + <​td>​Florian Gesser</​td>​ 
 + <​td>​Investigating the schizophrenic brain: Automated classification of biomarkers</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​279</​td>​ 
 + <​td>​26-5</​td>​ 
 + <​td>​Rel Guzman Apaza</​td>​ 
 + <​td>​Exploratory Data Analysis for Predicting Reaction and Reception to Textual Content</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​28</​td>​ 
 + <​td>​26-6</​td>​ 
 + <​td>​Aizhan Ibraimova</​td>​ 
 + <​td>​Automatic Library Classification for Scientific Articles</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​416</​td>​ 
 + <​td>​26-7</​td>​ 
 + <​td>​Atsushi Shibagaki</​td>​ 
 + <​td>​Approximately optimal selection of regularization parameters for L2 regularized convex loss minimization problems for supervised classifications</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​284</​td>​ 
 + <​td>​26-9</​td>​ 
 + <​td>​Naoya Takeishi</​td>​ 
 + <​td>​Modeling Spacecraft Telemetry Data using Dynamic Mixture Models</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​303</​td>​ 
 + <​td>​26-10</​td>​ 
 + <​td>​Syed Ali Asad Rizvi</​td>​ 
 + <​td>​Can we beat the market more safely using Machine Learning?</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​49</​td>​ 
 + <​td>​26-11</​td>​ 
 + <​td>​Nauman Shahid</​td>​ 
 + <​td>​Robust Principal Component Analysis On Graphs </​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​60</​td>​ 
 + <​td>​26-12</​td>​ 
 + <​td>​Emanuele Frandi</​td>​ 
 + <​td>​Frank-Wolfe Algorithms in Machine Learning: SVM Training, Lasso Regression and Other Applications</​td>​ 
 + </​tr>​ 
 + <​tr class="​uk-text-primary uk-text-bold">​ 
 + <​td>​61</​td>​ 
 + <​td>​26-13</​td>​ 
 + <​td>​Hongzhou Lin</​td>​ 
 + <​td><​div class="​uk-badge uk-badge-notification">​spotlight</​div>​ Proximal incremental majorization-minimization optimization method</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​193</​td>​ 
 + <​td>​26-14</​td>​ 
 + <​td>​Christoph Manss</​td>​ 
 + <​td>​Dictionary Learning for Sparsity Driven Exploration</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​322</​td>​ 
 + <​td>​26-15</​td>​ 
 + <​td>​Kevin Bello Medina</​td>​ 
 + <​td>​Reconceptualizing the classification of specialization programs offered by Peruvian universities using Topic Modeling</​td>​ 
 + </​tr>​ 
 + <​tr class="​uk-text-primary uk-text-bold">​ 
 + <​td>​195</​td>​ 
 + <​td>​26-16</​td>​ 
 + <​td>​Takagi Yu</​td>​ 
 + <​td><​div class="​uk-badge uk-badge-notification">​spotlight</​div>​ Neural link between Obsessive-compulsive disorder and delay discounting</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​454</​td>​ 
 + <​td>​26-17</​td>​ 
 + <​td>​nazanin ZOUNEMAT KERMANI</​td>​ 
 + <​td>​Comparative study of automated feature selection and classification techniques for detection of histological features by mass spectrometry imaging</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​327</​td>​ 
 + <​td>​26-18</​td>​ 
 + <​td>​Akira Tanimoto</​td>​ 
 + <​td>​Operational Quality Management of Massive Predictive Models </​td>​ 
 + </​tr>​ 
 + <​tr class="​uk-text-primary uk-text-bold">​ 
 + <​td>​72</​td>​ 
 + <​td>​26-19</​td>​ 
 + <​td>​Marine LE MORVAN</​td>​ 
 + <​td><​div class="​uk-badge uk-badge-notification">​spotlight</​div>​ Cancer stratification from mutation profiles using gene networks</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​83</​td>​ 
 + <​td>​26-20</​td>​ 
 + <​td>​Samuele Fiorini</​td>​ 
 + <​td>​Detection of disease course in Multiple Sclerosis: a Machine Learning approach</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​469</​td>​ 
 + <​td>​26-21</​td>​ 
 + <​td>​yuki hagimoto</​td>​ 
 + <​td>​Reasoning of Effective Attack Patterns Using the ILP  in RoboCup Soccer Simulation 2D</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​94</​td>​ 
 + <​td>​26-22</​td>​ 
 + <​td>​Viktoria Rojkova</​td>​ 
 + <​td>​Random matrices in unsupervised framework</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​226</​td>​ 
 + <​td>​26-23</​td>​ 
 + <​td>​Denis Ergashbaev</​td>​ 
 + <​td>​Machine Learning Approximation Techniques Using Dual Trees</​td>​ 
 + </​tr>​ 
 + <​tr class="​uk-text-primary uk-text-bold">​ 
 + <​td>​99</​td>​ 
 + <​td>​26-24</​td>​ 
 + <​td>​Woosang Lim</​td>​ 
 + <​td><​div class="​uk-badge uk-badge-notification">​spotlight</​div>​ Two-step Nystrom Method: An Efficient and Accurate Kernel Matrix Approximation for Large-Scale Data Sets</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​232</​td>​ 
 + <​td>​26-25</​td>​ 
 + <​td>​Nikola Mitrovic</​td>​ 
 + <​td>​Low-dimensional Models for Compressed Sensing and Prediction of Large-Scale Traffic Data</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​444</​td>​ 
 + <​td>​26-26</​td>​ 
 + <​td>​Filipe Veiga</​td>​ 
 + <​td>​Stabilizing Novel Objects by Learning to Predict Tactile Slip</​td>​ 
 + </​tr>​ 
 + <​tr class="​uk-text-primary uk-text-bold">​ 
 + <​td>​108</​td>​ 
 + <​td>​26-27</​td>​ 
 + <​td>​Levent Sagun</​td>​ 
 + <​td><​div class="​uk-badge uk-badge-notification">​spotlight</​div>​ High Dimensional Surfaces and Optimization</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​494</​td>​ 
 + <​td>​26-28</​td>​ 
 + <​td>​Rudolf Lioutikov</​td>​ 
 + <​td>​Simultaneous Learning of Segmentations and Skill Libraries</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​189</​td>​ 
 + <​td>​26-29</​td>​ 
 + <​td>​Erina Ishikawa</​td>​ 
 + <​td>​Using Designers'​ Perspective to Understand Content-Browsing Behavior</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​498</​td>​ 
 + <​td>​26-30</​td>​ 
 + <​td>​Werner Creixell</​td>​ 
 + <​td>​Prediction of nutritional deficiencies in maize plants from optical properties using spectral signature</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​243</​td>​ 
 + <​td>​26-31</​td>​ 
 + <​td>​Thong Pham</​td>​ 
 + <​td>​Digging up the past: A Bayesian Analysis of Complex Networks With Missing Timelines</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​376</​td>​ 
 + <​td>​26-32</​td>​ 
 + <​td>​Ronald Ahmed Cardenas Acosta</​td>​ 
 + <​td>​Reconceptualizing the classification of specialization programs offered by Peruvian universities using Topic Modeling</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​378</​td>​ 
 + <​td>​26-33</​td>​ 
 + <​td>​Vincent Roulet</​td>​ 
 + <​td>​Diversity learning through clustered penalties</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​252</​td>​ 
 + <​td>​26-34</​td>​ 
 + <​td>​Luca Ambrogioni</​td>​ 
 + <​td>​Modelling spatiotemporal cortical dynamics using additive Gaussian processes. </​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​255</​td>​ 
 + <​td>​26-35</​td>​ 
 + <​td>​Sho Sonoda</​td>​ 
 + <​td>​Ridgelet Analysis of Recent Neural Networks</​td>​ 
 + </​tr>​ 
 + </​table>​ 
 + </​div>​ 
 + </​div>​ 
 + </​li>​ 
 + <​li>​ 
 + <​div class="​uk-grid">​ 
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 + <​table class="​uk-table uk-table-condensed">​ 
 + <​tr>​ 
 + <​td class="​uk-width-1-10 uk-text-bold">​ID</​td>​ 
 + <​td class="​uk-width-1-10 uk-text-bold">​Poster ID</​td>​ 
 + <​td class="​uk-width-1-10 uk-text-bold">​Author</​td>​ 
 + <​td class="​uk-width-7-10">​Title</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​513</​td>​ 
 + <​td>​27-1</​td>​ 
 + <​td>​Yigal Weinberger</​td>​ 
 + <​td>​Mamography computer aided detection using hidden markov model algorithm</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​258</​td>​ 
 + <​td>​27-2</​td>​ 
 + <​td>​Kacper Chwialkowski</​td>​ 
 + <​td>​Fast Two Sample Tests using Smooth Random Features</​td>​ 
 + </​tr>​ 
 + <​tr class="​uk-text-primary uk-text-bold">​ 
 + <​td>​5</​td>​ 
 + <​td>​27-3</​td>​ 
 + <​td>​Robin Swezey</​td>​ 
 + <​td><​div class="​uk-badge uk-badge-notification">​spotlight</​div>​ Recommending Short-Lived Dynamic Packages for Golf Booking Services</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​278</​td>​ 
 + <​td>​27-4</​td>​ 
 + <​td>​Vikram Kamath</​td>​ 
 + <​td>​Exploring Architectures for the Iterative Neural Autoregressive Distribution Estimator (NADE-k)</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​135</​td>​ 
 + <​td>​27-5</​td>​ 
 + <​td>​Aubin Samacoits</​td>​ 
 + <​td>​Developing statistical method and machine learning algorithm to study mRNA localization in human cells</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​265</​td>​ 
 + <​td>​27-6</​td>​ 
 + <​td>​Akshat Srivastava</​td>​ 
 + <​td>​Robustness of LASSO</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​394</​td>​ 
 + <​td>​27-7</​td>​ 
 + <​td>​Miriam Srokova</​td>​ 
 + <​td>​Machine Learning Based Air Traffic Flow</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​11</​td>​ 
 + <​td>​27-8</​td>​ 
 + <​td>​Mijung Park</​td>​ 
 + <​td>​K2-ABC:​ Approximate Bayesian Computation with Infinite Dimensional Summary Statistics via Kernel Embeddings</​td>​ 
 + </​tr>​ 
 + <​tr class="​uk-text-primary uk-text-bold">​ 
 + <​td>​534</​td>​ 
 + <​td>​27-10</​td>​ 
 + <​td>​Ilaria Giulini</​td>​ 
 + <​td><​div class="​uk-badge uk-badge-notification">​spotlight</​div>​ A PAC-Bayesian approach to principal component analysis in high dimension</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​153</​td>​ 
 + <​td>​27-11</​td>​ 
 + <​td>​Tomoya Sakai</​td>​ 
 + <​td>​Image registration based on squared-loss mutual information</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​160</​td>​ 
 + <​td>​27-12</​td>​ 
 + <​td>​Inbal Horev</​td>​ 
 + <​td>​Intrinsic Principal Component Analysis for Symmetric Positive Definite Matrices</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​432</​td>​ 
 + <​td>​27-13</​td>​ 
 + <​td>​Jessa Bekker</​td>​ 
 + <​td>​Learning Markov Networks with Sentential Decision Diagrams</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​419</​td>​ 
 + <​td>​27-14</​td>​ 
 + <​td>​Toshiyuki Takada</​td>​ 
 + <​td>​Privacy preserving logistic regression by using piecewise-linear approximation</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​241</​td>​ 
 + <​td>​27-16</​td>​ 
 + <​td>​Seyedeh Mohadeseh Ghasempour Ganji</​td>​ 
 + <​td>​Generalized Modularity for community detection</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​93</​td>​ 
 + <​td>​27-17</​td>​ 
 + <​td>​Louisa Kessi</​td>​ 
 + <​td>​Automatic Modeling and Recognition of Heterogeneous Logical Structures from Digitized Business Documents</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​48</​td>​ 
 + <​td>​27-18</​td>​ 
 + <​td>​Ikko Yamane</​td>​ 
 + <​td>​Regularized multi-task learning for multi-dimensional log-density gradient estimation</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​318</​td>​ 
 + <​td>​27-19</​td>​ 
 + <​td>​Mariano Gabitto</​td>​ 
 + <​td>​Bayesian Inference of Spinal Interneurons Classes Reveals Diverse and Spatially Clustered Cell Types</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​452</​td>​ 
 + <​td>​27-20</​td>​ 
 + <​td>​Jean-Baptiste Alayrac</​td>​ 
 + <​td>​Structured learning from video and natural language</​td>​ 
 + </​tr>​ 
 + <​tr class="​uk-text-primary uk-text-bold">​ 
 + <​td>​330</​td>​ 
 + <​td>​27-21</​td>​ 
 + <​td>​Ayaka Sakata</​td>​ 
 + <​td><​div class="​uk-badge uk-badge-notification">​spotlight</​div>​ Replica Symmetric Bound for Restricted Isometry Constant</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​461</​td>​ 
 + <​td>​27-22</​td>​ 
 + <​td>​Shunya Ueta</​td>​ 
 + <​td>​Semi-supervised learning using a contour integral-based eigensolver ​ in computer vision.</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​79</​td>​ 
 + <​td>​27-23</​td>​ 
 + <​td>​Shanshan (Sherry) Ruan</​td>​ 
 + <​td>​ Representation Discovery for MDPs Using Bisimulation Metrics</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​339</​td>​ 
 + <​td>​27-24</​td>​ 
 + <​td>​Ryosuke Kojima</​td>​ 
 + <​td>​Multimodal scene understanding using CNN and hierarchical HMM for a cooking support robot</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​472</​td>​ 
 + <​td>​27-25</​td>​ 
 + <​td>​Tyler Garvin</​td>​ 
 + <​td>​Ginkgo:​ interactive analysis and quality assessment of single-cell copy number variation ​  </​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​477</​td>​ 
 + <​td>​27-26</​td>​ 
 + <​td>​Duy Khuong Nguyen</​td>​ 
 + <​td>​Fast Anti-lopsided Algorithm for Nonnegative Matrix Factorization in High Dimensional Space</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​481</​td>​ 
 + <​td>​27-27</​td>​ 
 + <​td>​Gudmundur Einarsson</​td>​ 
 + <​td>​Motion Analysis from Scene Flow</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​234</​td>​ 
 + <​td>​27-28</​td>​ 
 + <​td>​Gilad Amar</​td>​ 
 + <​td>​Deep Learning in Radio Astronomy</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​236</​td>​ 
 + <​td>​27-29</​td>​ 
 + <​td>​Kelvin Xu</​td>​ 
 + <​td>​Show Attend and Tell: Neural Image Caption Generation with Visual Attention</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​110</​td>​ 
 + <​td>​27-30</​td>​ 
 + <​td>​Alexander Schmitz</​td>​ 
 + <​td>​Tactile Object Recognition and In-Hand Manipulation with the TWENDY-ONE hand</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​113</​td>​ 
 + <​td>​27-31</​td>​ 
 + <​td>​Nare Karapetyan</​td>​ 
 + <​td>​Car Parking System</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​467</​td>​ 
 + <​td>​27-32</​td>​ 
 + <​td>​Hiroaki Sasaki</​td>​ 
 + <​td>​Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​254</​td>​ 
 + <​td>​27-33</​td>​ 
 + <​td>​Takanori Sugiyama</​td>​ 
 + <​td>​Review of Quantum Machine Learning</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​121</​td>​ 
 + <​td>​27-34</​td>​ 
 + <​td>​Yongxin Yang</​td>​ 
 + <​td>​A Unified Perspective on Multi-Domain and Multi-Task Learning</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​510</​td>​ 
 + <​td>​27-35</​td>​ 
 + <​td>​Jiawen Lin</​td>​ 
 + <​td>​Recommendation in IOT:  A Context-aware Recommender System Based on  Indoor Positioning ​ and Tracking</​td>​ 
 + </​tr>​ 
 + </​table>​ 
 + </​div>​ 
 + </​div>​ 
 + </​li>​ 
 + <​li>​ 
 + <​div class="​uk-grid">​ 
 + <​div class="​uk-width-1-1">​ 
 + <​table class="​uk-table uk-table-condensed">​ 
 + <​tr>​ 
 + <​td class="​uk-width-1-10 uk-text-bold">​ID</​td>​ 
 + <​td class="​uk-width-1-10 uk-text-bold">​Poster ID</​td>​ 
 + <​td class="​uk-width-1-10 uk-text-bold">​Author</​td>​ 
 + <​td class="​uk-width-7-10">​Title</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​389</​td>​ 
 + <​td>​28-1</​td>​ 
 + <​td>​Adrien Martel</​td>​ 
 + <​td>​EEG-based Neurofeedback for sustained attention enhancement </​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​557</​td>​ 
 + <​td>​28-2</​td>​ 
 + <​td>​Dorota Blaszczuk</​td>​ 
 + <​td>​Machine Learning application in insurance - telematics data sets</​td>​ 
 + </​tr>​ 
 + <​tr class="​uk-text-primary uk-text-bold">​ 
 + <​td>​6</​td>​ 
 + <​td>​28-3</​td>​ 
 + <​td>​Masayuki Ohzeki</​td>​ 
 + <​td><​div class="​uk-badge uk-badge-notification">​spotlight</​div>​ Statistical-mechanical analysis of pre-training and fine tuning in deep learning</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​402</​td>​ 
 + <​td>​28-4</​td>​ 
 + <​td>​Paavo Parmas</​td>​ 
 + <​td>​Inverted Pendulum Using Machine Learning and Computer Vision</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​408</​td>​ 
 + <​td>​28-5</​td>​ 
 + <​td>​Satoshi Takabe</​td>​ 
 + <​td>​Typical behavior of the linear programming method for combinatorial optimization problems</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​156</​td>​ 
 + <​td>​28-6</​td>​ 
 + <​td>​Keisuke Yano</​td>​ 
 + <​td>​Bayesian Multi-step Ahead Prediction and Model Selection</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​33</​td>​ 
 + <​td>​28-7</​td>​ 
 + <​td>​Seirana Hashemi Ranjbar</​td>​ 
 + <​td>​Incorporating protein domain for sparse classifiers in cancer associations</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​423</​td>​ 
 + <​td>​28-8</​td>​ 
 + <​td>​Olga Zhukova</​td>​ 
 + <​td>​Algorithm selection for examination timetabling using machine learning techniques</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​427</​td>​ 
 + <​td>​28-9</​td>​ 
 + <​td>​Hiroyuki Hanada</​td>​ 
 + <​td>​Enumerating Eulerian Trails Based on Line Graph Conversion</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​173</​td>​ 
 + <​td>​28-10</​td>​ 
 + <​td>​Yifan Wu</​td>​ 
 + <​td>​On identifying good options under combinatorially structured feedback in finite noisy environments</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​438</​td>​ 
 + <​td>​28-11</​td>​ 
 + <​td>​Bruno Lourenco</​td>​ 
 + <​td>​Squared slack variables in nonlinear semidefinite programming</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​55</​td>​ 
 + <​td>​28-12</​td>​ 
 + <​td>​Zoltan Adam Milacski</​td>​ 
 + <​td>​Robust Segmentation Based Anomaly Detection</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​190</​td>​ 
 + <​td>​28-13</​td>​ 
 + <​td>​Stefano Marano</​td>​ 
 + <​td>​A STATE-SPACE APPROACH FOR THE ANALYSIS OF WAVE AND DIFFUSION FIELDS</​td>​ 
 + </​tr>​ 
 + <​tr class="​uk-text-primary uk-text-bold">​ 
 + <​td>​65</​td>​ 
 + <​td>​28-14</​td>​ 
 + <​td>​Tony TUNG</​td>​ 
 + <​td><​div class="​uk-badge uk-badge-notification">​spotlight</​div>​ Learning the Human Body Shape</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​70</​td>​ 
 + <​td>​28-15</​td>​ 
 + <​td>​Natalia Efremova</​td>​ 
 + <​td>​Neurophysiologically plausible model of human mirror neuron system</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​200</​td>​ 
 + <​td>​28-16</​td>​ 
 + <​td>​Alberto Viseras Ruiz</​td>​ 
 + <​td>​Efficient Exploration of Complex, Unknown Environments with Safety Constraints</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​463</​td>​ 
 + <​td>​28-17</​td>​ 
 + <​td>​JeongHun Baek</​td>​ 
 + <​td>​Computational Complexity Reduction for Functional Connectivity Estimation in Large Scale Neural Network</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​80</​td>​ 
 + <​td>​28-18</​td>​ 
 + <​td>​Shi Zhao</​td>​ 
 + <​td>​Towards understanding web queries with knowledge-graph enriched intent topic representations</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​338</​td>​ 
 + <​td>​28-19</​td>​ 
 + <​td>​Sifan Chen</​td>​ 
 + <​td>​A batch face recognition system</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​483</​td>​ 
 + <​td>​28-20</​td>​ 
 + <​td>​hosnieh sattar</​td>​ 
 + <​td>​Prediction of Search Targets From Fixations in Open-World Settings</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​342</​td>​ 
 + <​td>​28-21</​td>​ 
 + <​td>​Cedric Malherbe</​td>​ 
 + <​td>​Global Optimization with Active Learning</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​346</​td>​ 
 + <​td>​28-22</​td>​ 
 + <​td>​Jorge Copete</​td>​ 
 + <​td>​Multimodal Integration Using Deep Autoencoder:​ Visuomotor Correspondence Learning in Human-Robot Interaction.</​td>​ 
 + </​tr>​ 
 + <​tr class="​uk-text-primary uk-text-bold">​ 
 + <​td>​219</​td>​ 
 + <​td>​28-23</​td>​ 
 + <​td>​Ryo Karakida</​td>​ 
 + <​td><​div class="​uk-badge uk-badge-notification">​spotlight</​div>​ Identifying Feature Components Extracted by Contrastive Divergence Learning in Gaussian RBMs</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​479</​td>​ 
 + <​td>​28-24</​td>​ 
 + <​td>​Christian Hammerschmidt</​td>​ 
 + <​td>​Learning Timed Probabilistic Automatons in Streams under Adversarial Influence for Applications in Authentication</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​464</​td>​ 
 + <​td>​28-25</​td>​ 
 + <​td>​Takafumi YANO</​td>​ 
 + <​td>​MEG Inverse Problem and Information Criterion</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​227</​td>​ 
 + <​td>​28-26</​td>​ 
 + <​td>​Christophe DUPUY</​td>​ 
 + <​td>​Review Prediction Using Topic Models</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​360</​td>​ 
 + <​td>​28-28</​td>​ 
 + <​td>​Gregor Gebhardt</​td>​ 
 + <​td>​Embedding Kalman Filters into Reproducing Kernel Hilbert Spaces</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​365</​td>​ 
 + <​td>​28-29</​td>​ 
 + <​td>​Ricardo Fonseca</​td>​ 
 + <​td>​Prediction of nutritional deficiencies in maize plants from optical properties using spectral signature</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​238</​td>​ 
 + <​td>​28-30</​td>​ 
 + <​td>​Dmitrii Ostrovskii</​td>​ 
 + <​td>​Near-optimal signal recovery by convex optimization</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​370</​td>​ 
 + <​td>​28-31</​td>​ 
 + <​td>​Sandhya Tripathi</​td>​ 
 + <​td>​Some equilibrium prediction problems in M/M/1 queues.</​td>​ 
 + </​tr>​ 
 + <​tr class="​uk-text-primary uk-text-bold">​ 
 + <​td>​117</​td>​ 
 + <​td>​28-32</​td>​ 
 + <​td>​Thomas Brouwer</​td>​ 
 + <​td><​div class="​uk-badge uk-badge-notification">​spotlight</​div>​ Latent variable model with Bayesian learning for drug repositioning</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​375</​td>​ 
 + <​td>​28-33</​td>​ 
 + <​td>​Igor dos Santos Montagner</​td>​ 
 + <​td>​Learning image transformations to process music scores</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​251</​td>​ 
 + <​td>​28-34</​td>​ 
 + <​td>​Yutaro Shigeto</​td>​ 
 + <​td>​Analyzing the Hubness Phenomenon in Zero-shot learning</​td>​ 
 + </​tr>​ 
 + </​table>​ 
 + </​div>​ 
 + </​div>​ 
 + </​li>​ 
 + <​li>​ 
 + <​div class="​uk-grid">​ 
 + <​div class="​uk-width-1-1">​ 
 + <​table class="​uk-table uk-table-condensed">​ 
 + <​tr>​ 
 + <​td class="​uk-width-1-10 uk-text-bold">​ID</​td>​ 
 + <​td class="​uk-width-1-10 uk-text-bold">​Poster ID</​td>​ 
 + <​td class="​uk-width-1-10 uk-text-bold">​Author</​td>​ 
 + <​td class="​uk-width-7-10">​Title</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​257</​td>​ 
 + <​td>​1-1</​td>​ 
 + <​td>​Akifumi Okuno</​td>​ 
 + <​td>​Robust cross-domain matching: Analyzing multi-domain data vectors under mismatched associations</​td>​ 
 + </​tr>​ 
 + <​tr class="​uk-text-primary uk-text-bold">​ 
 + <​td>​133</​td>​ 
 + <​td>​1-2</​td>​ 
 + <​td>​Thomas Moreau</​td>​ 
 + <​td><​div class="​uk-badge uk-badge-notification">​spotlight</​div>​ Convolutional Dictionary Learning with Temporal Regularization</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​51</​td>​ 
 + <​td>​1-3</​td>​ 
 + <​td>​Ghazal Ghazaei</​td>​ 
 + <​td>​Artificial Vision for Artificial Hands (AVAH)</​td>​ 
 + </​tr>​ 
 + <​tr class="​uk-text-primary uk-text-bold">​ 
 + <​td>​8</​td>​ 
 + <​td>​1-4</​td>​ 
 + <​td>​Junpei Komiyama</​td>​ 
 + <​td><​div class="​uk-badge uk-badge-notification">​spotlight</​div>​ An Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​148</​td>​ 
 + <​td>​1-5</​td>​ 
 + <​td>​Abdullah Khamis</​td>​ 
 + <​td>​Gene Expression Data Analysis Using Machine Learning Techniques</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​24</​td>​ 
 + <​td>​1-6</​td>​ 
 + <​td>​Vikrant Yadav</​td>​ 
 + <​td>​Automatic ​ Generation of Wikipedia Articles</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​25</​td>​ 
 + <​td>​1-7</​td>​ 
 + <​td>​Marthinus Christoffel (Christo) du Plessis</​td>​ 
 + <​td>​Learning from Positive and Unlabeled Data</​td>​ 
 + </​tr>​ 
 + <​tr class="​uk-text-primary uk-text-bold">​ 
 + <​td>​538</​td>​ 
 + <​td>​1-8</​td>​ 
 + <​td>​Hsin-Yuan Huang</​td>​ 
 + <​td><​div class="​uk-badge uk-badge-notification">​spotlight</​div>​ Automatic Machine Learning by Linear and Kernel Classifiers</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​52</​td>​ 
 + <​td>​1-9</​td>​ 
 + <​td>​Weihua Hu</​td>​ 
 + <​td>​Academic Information Retrieval</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​29</​td>​ 
 + <​td>​1-10</​td>​ 
 + <​td>​Elena Shirokova</​td>​ 
 + <​td>​Automatic Library Classification for Scientific Articles</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​543</​td>​ 
 + <​td>​1-11</​td>​ 
 + <​td>​Mu-Chu Lee</​td>​ 
 + <​td>​A note on choosing optimization methods for linear SVMs under distributed environment</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​34</​td>​ 
 + <​td>​1-12</​td>​ 
 + <​td>​Felipe Yanez</​td>​ 
 + <​td>​Primal-Dual Algorithms for Non-negative Matrix Factorization with the Kullback-Leibler Divergence</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​421</​td>​ 
 + <​td>​1-13</​td>​ 
 + <​td>​Masaru Ito</​td>​ 
 + <​td>​Optimal subgradient-based methods for convex optimization problems with special structure</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​422</​td>​ 
 + <​td>​1-14</​td>​ 
 + <​td>​Kazuya Nakagawa</​td>​ 
 + <​td>​Efficient combinatorial interaction detection by using safe screening approaches</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​46</​td>​ 
 + <​td>​1-15</​td>​ 
 + <​td>​Cem Orhan</​td>​ 
 + <​td>​Active Learning by Statistical Leverage Sampling (Cem Orhan and Oznur Tastan)</​td>​ 
 + </​tr>​ 
 + <​tr class="​uk-text-primary uk-text-bold">​ 
 + <​td>​434</​td>​ 
 + <​td>​1-16</​td>​ 
 + <​td>​Yukihiro Togari</​td>​ 
 + <​td><​div class="​uk-badge uk-badge-notification">​spotlight</​div>​ A proximal gradient method with componentwise lazy evaluation for online optimization </​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​435</​td>​ 
 + <​td>​1-17</​td>​ 
 + <​td>​Takeru Miyato</​td>​ 
 + <​td>​Which to use dropout or dropconnect in Multi-label Learning?</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​436</​td>​ 
 + <​td>​1-18</​td>​ 
 + <​td>​Peter Udo Diehl</​td>​ 
 + <​td>​Fast-Classifying,​ High-Accuracy Spiking Deep Networks Through Weight and Threshold Balancing</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​308</​td>​ 
 + <​td>​1-19</​td>​ 
 + <​td>​Maksym Andriushchenko</​td>​ 
 + <​td>​Data analysis in social games</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​519</​td>​ 
 + <​td>​1-20</​td>​ 
 + <​td>​Sotetsu Koyamada</​td>​ 
 + <​td>​Principal Sensitivity Analysis</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​415</​td>​ 
 + <​td>​1-21</​td>​ 
 + <​td>​Shinya Suzumura</​td>​ 
 + <​td>​An exact post selection inference for combinatorial genomic interactions</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​458</​td>​ 
 + <​td>​1-22</​td>​ 
 + <​td>​Christopher Schymura</​td>​ 
 + <​td>​Binaural Sound Source Localisation using a Bayesian-network-based Blackboard System and Hypothesis-driven Feedback</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​205</​td>​ 
 + <​td>​1-23</​td>​ 
 + <​td>​David Heryanto</​td>​ 
 + <​td>​Incremental learning of neural network with knowledge distillation</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​466</​td>​ 
 + <​td>​1-24</​td>​ 
 + <​td>​Nir Rosenfeld</​td>​ 
 + <​td>​Discriminative Learning of Infection Models</​td>​ 
 + </​tr>​ 
 + <​tr class="​uk-text-primary uk-text-bold">​ 
 + <​td>​468</​td>​ 
 + <​td>​1-25</​td>​ 
 + <​td>​Moritz Gerlach</​td>​ 
 + <​td><​div class="​uk-badge uk-badge-notification">​spotlight</​div>​ Spectral Convergence of Empirical Graph Laplacians</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​57</​td>​ 
 + <​td>​1-26</​td>​ 
 + <​td>​Zipei Fan</​td>​ 
 + <​td>​A Spectral Approach to Human Mobility Modeling</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​476</​td>​ 
 + <​td>​1-27</​td>​ 
 + <​td>​Takoua Jendoubi</​td>​ 
 + <​td>​Bayesian Nonparametric method for metabolomics data fusion</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​351</​td>​ 
 + <​td>​1-28</​td>​ 
 + <​td>​Daniele Calandriello</​td>​ 
 + <​td>​Large scale Semi-Supervised Learning with On-Line Graph Sparsification (tentative)</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​484</​td>​ 
 + <​td>​1-29</​td>​ 
 + <​td>​Richard Lewis</​td>​ 
 + <​td>​Quantitative Structure-Activity Prediction (QSAR): Predicting the anticancer activity of compound given only its structure</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​508</​td>​ 
 + <​td>​1-30</​td>​ 
 + <​td>​Mohamed Abdalmoaty</​td>​ 
 + <​td>​Model selection in system identification</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​366</​td>​ 
 + <​td>​1-31</​td>​ 
 + <​td>​Kenshi Uchihashi</​td>​ 
 + <​td>​machine learning approach: connectomics</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​500</​td>​ 
 + <​td>​1-32</​td>​ 
 + <​td>​Dan Assouline</​td>​ 
 + <​td>​Machine Learning for Large Scale Rooftop Photovoltaic Potential - Swiss case.</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​119</​td>​ 
 + <​td>​1-33</​td>​ 
 + <​td>​Haotian Zhang</​td>​ 
 + <​td>​A Comaprision of Different Face Recognition Algorithms </​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​124</​td>​ 
 + <​td>​1-34</​td>​ 
 + <​td>​Hiroshi Kajino</​td>​ 
 + <​td>​Active Learning for Multi-relational Data Construction</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​382</​td>​ 
 + <​td>​1-35</​td>​ 
 + <​td>​Joe Suzuki</​td>​ 
 + <​td>​A Bayesian Mutual Information Estimator and its Application to Independence Testing</​td>​ 
 + </​tr>​ 
 + </​table>​ 
 + </​div>​ 
 + </​div>​ 
 + </​li>​ 
 + <​li>​ 
 + <​div class="​uk-grid">​ 
 + <​div class="​uk-width-1-1">​ 
 + <​table class="​uk-table uk-table-condensed">​ 
 + <​tr>​ 
 + <​td class="​uk-width-1-10 uk-text-bold">​ID</​td>​ 
 + <​td class="​uk-width-1-10 uk-text-bold">​Poster ID</​td>​ 
 + <​td class="​uk-width-1-10 uk-text-bold">​Author</​td>​ 
 + <​td class="​uk-width-7-10">​Title</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​128</​td>​ 
 + <​td>​3-1</​td>​ 
 + <​td>​Jawad Tayyub</​td>​ 
 + <​td>​Qualitative and Quantitative Spatio-Temporal Relations in Daily Living Activity Recognition</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​261</​td>​ 
 + <​td>​3-2</​td>​ 
 + <​td>​Mario Michael Krell</​td>​ 
 + <​td>​Generalizing,​ Decoding, and Optimizing Support Vector Machine Classification</​td>​ 
 + </​tr>​ 
 + <​tr class="​uk-text-primary uk-text-bold">​ 
 + <​td>​134</​td>​ 
 + <​td>​3-3</​td>​ 
 + <​td>​Amit Moscovich-Eiger</​td>​ 
 + <​td><​div class="​uk-badge uk-badge-notification">​spotlight</​div>​ Fast calculation of boundary crossing probabilities for Poisson processes</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​172</​td>​ 
 + <​td>​3-4</​td>​ 
 + <​td>​Voot Tangkaratt</​td>​ 
 + <​td>​Direct Estimation of the Derivative of Quadratic Mutual Information with Application in Dimension Reduction</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​522</​td>​ 
 + <​td>​3-5</​td>​ 
 + <​td>​Bartosz Krawczyk</​td>​ 
 + <​td>​Mining Massive and Streaming Multi-Class Data with Ensembles of One-Class Classifiers</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​395</​td>​ 
 + <​td>​3-6</​td>​ 
 + <​td>​Kodai Ueyoshi</​td>​ 
 + <​td>​FPGA-oriented massively parallel, scalable, and reconfigurable architectures for Restricted Boltzmann Machines towards deep learning systems</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​270</​td>​ 
 + <​td>​3-7</​td>​ 
 + <​td>​Kota Itoda</​td>​ 
 + <​td>​ Causality Analysis of Group Behavior in Goal-type Ball Game</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​401</​td>​ 
 + <​td>​3-8</​td>​ 
 + <​td>​Riki Eto</​td>​ 
 + <​td>​Causal Piecewise Sparse Linear Models</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​533</​td>​ 
 + <​td>​3-9</​td>​ 
 + <​td>​Zenna Tavares</​td>​ 
 + <​td>​Abstract Metropolized Independent Sampling in Highly Constrained Probabilistic Programs</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​535</​td>​ 
 + <​td>​3-10</​td>​ 
 + <​td>​Anthony DeCostanzo</​td>​ 
 + <​td>​Random projections applied to modeling of neuronal turnover in the brain</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​152</​td>​ 
 + <​td>​3-11</​td>​ 
 + <​td>​Brian Cheung</​td>​ 
 + <​td>​Exploring Deep Space: Discovering Factors of Variation Learned in Deep Networks</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​537</​td>​ 
 + <​td>​3-12</​td>​ 
 + <​td>​Volodymyr Kuleshov</​td>​ 
 + <​td>​Statistical methods in genome phasing</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​411</​td>​ 
 + <​td>​3-13</​td>​ 
 + <​td>​Yung-Kyun Noh</​td>​ 
 + <​td>​Nearest Neighbor Methods with Generative Metric</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​290</​td>​ 
 + <​td>​3-14</​td>​ 
 + <​td>​Aqsa Shabbir</​td>​ 
 + <​td>​Machine learning in probability spaces for control and optimization in nuclear fusion plasmas</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​295</​td>​ 
 + <​td>​3-15</​td>​ 
 + <​td>​Stefano Martiniani</​td>​ 
 + <​td>​A new method for computing the volume of high dimensional manifolds: application to the basins of attraction of jammed soft spheres packings</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​44</​td>​ 
 + <​td>​3-16</​td>​ 
 + <​td>​Luca Celotti Herranz</​td>​ 
 + <​td>​why to active sense, and how</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​175</​td>​ 
 + <​td>​3-17</​td>​ 
 + <​td>​Jiuding Duan</​td>​ 
 + <​td>​learning features for material informatics</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​305</​td>​ 
 + <​td>​3-18</​td>​ 
 + <​td>​Ehsan Imani</​td>​ 
 + <​td>​Multi-Modal Distance Metric learning Based on Stacked Auto-Encoders</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​306</​td>​ 
 + <​td>​3-19</​td>​ 
 + <​td>​Ashish Arora</​td>​ 
 + <​td>​ReCAPTCHA assisted OCR for Devanagari Texts</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​58</​td>​ 
 + <​td>​3-20</​td>​ 
 + <​td>​Reza ​ Babanezhad Harikandeh</​td>​ 
 + <​td>​Non-Uniform Stochastic Average Gradient Method ​ for Training Conditional Random Fields</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​450</​td>​ 
 + <​td>​3-21</​td>​ 
 + <​td>​Ryo Iwaki</​td>​ 
 + <​td>​Minimizing the Variance of Actor'​s Update Rule by Using Eligibility Trace in Critic'​s Learning</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​325</​td>​ 
 + <​td>​3-22</​td>​ 
 + <​td>​Song Liu</​td>​ 
 + <​td>​Learning Structure of Partial Markov Random Field via Partitioned Ratio</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​198</​td>​ 
 + <​td>​3-23</​td>​ 
 + <​td>​Matthew Graham</​td>​ 
 + <​td>​Sub-space Hamiltonian Monte Carlo with a unimodal Boltzmann machine relaxation</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​77</​td>​ 
 + <​td>​3-24</​td>​ 
 + <​td>​Caner Hazirbas</​td>​ 
 + <​td>​Optimizing the Relevance-Redundancy Tradeoff for Efficient Semantic Segmentation</​td>​ 
 + </​tr>​ 
 + <​tr class="​uk-text-primary uk-text-bold">​ 
 + <​td>​335</​td>​ 
 + <​td>​3-25</​td>​ 
 + <​td>​Meriem El Azami</​td>​ 
 + <​td><​div class="​uk-badge uk-badge-notification">​spotlight</​div>​ Detection of epilepsy lesions as an outlier detection problem</​td>​ 
 + </​tr>​ 
 + <​tr class="​uk-text-primary uk-text-bold">​ 
 + <​td>​212</​td>​ 
 + <​td>​3-26</​td>​ 
 + <​td>​Akshay Srinivasan</​td>​ 
 + <​td><​div class="​uk-badge uk-badge-notification">​spotlight</​div>​ Graphical Newton</​td>​ 
 + </​tr>​ 
 + <​tr class="​uk-text-primary uk-text-bold">​ 
 + <​td>​220</​td>​ 
 + <​td>​3-27</​td>​ 
 + <​td>​Marcello Rambaldi</​td>​ 
 + <​td><​div class="​uk-badge uk-badge-notification">​spotlight</​div>​ Modelling market activity around macroeconomic news: a Hawkes-process approach</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​221</​td>​ 
 + <​td>​3-28</​td>​ 
 + <​td>​Esther Alberts</​td>​ 
 + <​td>​A Nonparametric Model for Estimating Tumor Growth in Longitudinal Image Sequences</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​357</​td>​ 
 + <​td>​3-29</​td>​ 
 + <​td>​Fajwel Fogel</​td>​ 
 + <​td>​SerialRank:​ spectral ranking using seriation</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​106</​td>​ 
 + <​td>​3-30</​td>​ 
 + <​td>​Yasmin Fathy</​td>​ 
 + <​td>​Large-Scale Discovery and Ranking for the Internet of Things (IoT) Data and Services</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​492</​td>​ 
 + <​td>​3-31</​td>​ 
 + <​td>​Sergey Paramonov</​td>​ 
 + <​td>​Logic Programming for Data Mining</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​367</​td>​ 
 + <​td>​3-32</​td>​ 
 + <​td>​Nicolas Flammarion</​td>​ 
 + <​td>​ From Averaging to Acceleration,​ There is Only a Step-size</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​112</​td>​ 
 + <​td>​3-33</​td>​ 
 + <​td>​Joao Martins</​td>​ 
 + <​td>​Augmented Human Assistance</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​118</​td>​ 
 + <​td>​3-34</​td>​ 
 + <​td>​Simon Manschitz</​td>​ 
 + <​td>​Probabilistic Progress Prediction and Sequencing of Concurrent Movement Primitives</​td>​ 
 + </​tr>​ 
 + <​tr>​ 
 + <​td>​362</​td>​ 
 + <​td>​3-35</​td>​ 
 + <​td>​Massimo Silvetti</​td>​ 
 + <​td>​Reward value and prediction error in human medial frontal cortex: a model-based fMRI study</​td>​ 
 + </​tr>​ 
 + </​table>​ 
 + </​div>​ 
 + </​div>​ 
 + </​li>​ 
 + </​ul>​ 
 +</​HTML>​
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