Classification

On the Relationship Between Binary Classification, Bipartite Ranking, and Binary Class Probability Estimation NeurIPS 2013 On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance ICML 2013 Open Problem: Lower bounds for Boosting with Hadamard Matrices COLT 2013 Optimal Probability Estimation with Applications to Prediction and Classification COLT 2013 Optimizing 1-Nearest Prototype Classifiers CVPR 2013 Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization ICML 2013 Pedestrian Parsing via Deep Decompositional Network ICCV 2013 Perfect Associative Learning with Spike-Timing-Dependent Plasticity NeurIPS 2013 Pixel-Level Hand Detection in Ego-centric Videos CVPR 2013 POOF: Part-Based One-vs.-One Features for Fine-Grained Categorization, Face Verification, and Attribute Estimation CVPR 2013 Poselet Key-Framing: A Model for Human Activity Recognition CVPR 2013 Probabilistic Elastic Matching for Pose Variant Face Verification CVPR 2013 Probabilistic Label Trees for Efficient Large Scale Image Classification CVPR 2013 \proptoSVM for Learning with Label Proportions ICML 2013 q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions NeurIPS 2013 QuantMiner for Mining Quantitative Association Rules JMLR 2013 Query Induction with Schema-Guided Pruning Strategies JMLR 2013 Quickly Boosting Decision Trees – Pruning Underachieving Features Early ICML 2013 Random Projections as Regularizers: Learning a Linear Discriminant Ensemble from Fewer Observations than Dimensions ACML 2013 Random Projections for Support Vector Machines AISTATS 2013 Random Spanning Trees and the Prediction of Weighted Graphs JMLR 2013 Ranking Forests JMLR 2013 Rapid Distance-Based Outlier Detection via Sampling NeurIPS 2013 Real-Time Body Tracking with One Depth Camera and Inertial Sensors ICCV 2013 Real-Time Inference for a Gamma Process Model of Neural Spiking NeurIPS 2013