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Papers (including subtopics)

Message Passing Inference for Large Scale Graphical Models with High Order Potentials NeurIPS 2014 Metric Learning for Temporal Sequence Alignment NeurIPS 2014 Mind the Nuisance: Gaussian Process Classification using Privileged Noise NeurIPS 2014 Minimal Scene Descriptions from Structure from Motion Models CVPR 2014 Minimax-optimal Inference from Partial Rankings NeurIPS 2014 Min-Max Problems on Factor Graphs ICML 2014 Mirror Symmetry Histograms for Capturing Geometric Properties in Images CVPR 2014 Mixed Graphical Models via Exponential Families AISTATS 2014 Mode Estimation for High Dimensional Discrete Tree Graphical Models NeurIPS 2014 Modeling Deep Temporal Dependencies with Recurrent Grammar Cells"" NeurIPS 2014 Model Transport: Towards Scalable Transfer Learning on Manifolds CVPR 2014 Mondrian Forests: Efficient Online Random Forests NeurIPS 2014 Multi-Class Deep Boosting NeurIPS 2014 Multi-Cue Visual Tracking Using Robust Feature-Level Fusion Based on Joint Sparse Representation CVPR 2014 Multi-feature Spectral Clustering with Minimax Optimization CVPR 2014 Multi-Forest Tracker: A Chameleon in Tracking CVPR 2014 Multi-label Classification via Feature-aware Implicit Label Space Encoding ICML 2014 Multilabel Ranking with Inconsistent Rankers CVPR 2014 Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks NeurIPS 2014 Multimodal Learning in Loosely-organized Web Images CVPR 2014 Multi-Output Learning for Camera Relocalization CVPR 2014 Multiple Testing under Dependence via Semiparametric Graphical Models ICML 2014 Multi-Resolution Cascades for Multiclass Object Detection NeurIPS 2014 Multiresolution Matrix Factorization ICML 2014 Multiscale Centerline Detection by Learning a Scale-Space Distance Transform CVPR 2014