Data Science & Analytics

Joint Summarization of Large-scale Collections of Web Images and Videos for Storyline Reconstruction CVPR 2014 Large-margin Weakly Supervised Dimensionality Reduction ICML 2014 Large Scale Multi-view Stereopsis Evaluation CVPR 2014 Learning a Concept Hierarchy from Multi-labeled Documents NeurIPS 2014 Learning from Contagion (Without Timestamps) ICML 2014 Learning Mixed Multinomial Logit Model from Ordinal Data NeurIPS 2014 Learning Time-Varying Coverage Functions NeurIPS 2014 Link Prediction in Graphs with Autoregressive Features JMLR 2014 Local algorithms for interactive clustering ICML 2014 Locally Adaptive Factor Processes for Multivariate Time Series JMLR 2014 Making Fisher Discriminant Analysis Scalable ICML 2014 Measuring Distance Between Unordered Sets of Different Sizes CVPR 2014 Metric Learning for Temporal Sequence Alignment NeurIPS 2014 Minimax-optimal Inference from Partial Rankings NeurIPS 2014 Modeling Deep Temporal Dependencies with Recurrent Grammar Cells"" NeurIPS 2014 Multi-scale Graphical Models for Spatio-Temporal Processes NeurIPS 2014 New Learning Methods for Supervised and Unsupervised Preference Aggregation JMLR 2014 Online Clustering of Bandits ICML 2014 Open Problem: Finding Good Cascade Sampling Processes for the Network Inference Problem COLT 2014 Ordinal Random Fields for Recommender Systems ACML 2014 Parallel Feature Selection Inspired by Group Testing NeurIPS 2014 Prediction and Clustering in Signed Networks: A Local to Global Perspective JMLR 2014 Principal Component Analysis and Higher Correlations for Distributed Data COLT 2014 Probabilistic low-rank matrix completion on finite alphabets NeurIPS 2014 Probabilistic Matrix Factorization with Non-random Missing Data ICML 2014