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Classification

15289 directly classified papers

Papers per year

Papers

A Boosting Framework on Grounds of Online Learning NIPS 2014
Consistent Binary Classification with Generalized Performance Metrics NIPS 2014
Median Selection Subset Aggregation for Parallel Inference NIPS 2014
Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling NIPS 2014
Structure Regularization for Structured Prediction NIPS 2014
Multi-Class Deep Boosting NIPS 2014
Parsing Videos of Actions with Segmental Grammars CVPR 2014
Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights NIPS 2014
Fast Prediction for Large-Scale Kernel Machines NIPS 2014
Neural Decision Forests for Semantic Image Labelling CVPR 2014
Leveraging Hierarchical Parametric Networks for Skeletal Joints Based Action Segmentation and Recognition CVPR 2014
Making Fisher Discriminant Analysis Scalable ICML 2014
Joint Inference of Multiple Label Types in Large Networks ICML 2014
Bayesian Max-margin Multi-Task Learning with Data Augmentation ICML 2014
Bat Call Identification with Gaussian Process Multinomial Probit Regression and a Dynamic Time Warping Kernel AISTATS 2014
Jointly Informative Feature Selection AISTATS 2014
A Representation Theory for Ranking Functions NIPS 2014
The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification NIPS 2014
Reputation-based Worker Filtering in Crowdsourcing NIPS 2014
Attentional Neural Network: Feature Selection Using Cognitive Feedback NIPS 2014
Predicting Useful Neighborhoods for Lazy Local Learning NIPS 2014
On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification NIPS 2014
Ranking via Robust Binary Classification NIPS 2014
Randomized Max-Margin Compositions for Visual Recognition CVPR 2014
Learning to Group Objects CVPR 2014