Classification

Theory of Dual-sparse Regularized Randomized Reduction ICML 2015 The Randomized Causation Coefficient JMLR 2015 The Self-Normalized Estimator for Counterfactual Learning NeurIPS 2015 The Treasure Beneath Convolutional Layers: Cross-Convolutional-Layer Pooling for Image Classification CVPR 2015 Three Viewpoints Toward Exemplar SVM CVPR 2015 Top-k Multiclass SVM NeurIPS 2015 Towards a Learning Theory of Cause-Effect Inference ICML 2015 Towards Open World Recognition CVPR 2015 Toward User-Specific Tracking by Detection of Human Shapes in Multi-Cameras CVPR 2015 Tree Quantization for Large-Scale Similarity Search and Classification CVPR 2015 Understanding and Evaluating Sparse Linear Discriminant Analysis AISTATS 2015 Understanding Classifier Errors by Examining Influential Neighbors CVPR 2015 Understanding Everyday Hands in Action From RGB-D Images ICCV 2015 Understanding Image Virality CVPR 2015 6 Seconds of Sound and Vision: Creativity in Micro-Videos CVPR 2014 A Bayesian Framework for Online Classifier Ensemble ICML 2014 A Boosting Framework on Grounds of Online Learning NeurIPS 2014 Accurate Object Detection with Joint Classification-Regression Random Forests CVPR 2014 A Convergence Rate Analysis for LogitBoost, MART and Their Variant ICML 2014 Active Flattening of Curved Document Images via Two Structured Beams CVPR 2014 Adaptive Sampling for Large Scale Boosting JMLR 2014 A Divide-and-Conquer Solver for Kernel Support Vector Machines ICML 2014 A Drifting-Games Analysis for Online Learning and Applications to Boosting NeurIPS 2014 A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data AISTATS 2014 Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy ICML 2014