Classification

Self-Paced Learning with Diversity NeurIPS 2014 Sign Spotting using Hierarchical Sequential Patterns with Temporal Intervals CVPR 2014 Sparse PCA via Covariance Thresholding NeurIPS 2014 Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing NeurIPS 2014 Spectral Regularization for Max-Margin Sequence Tagging ICML 2014 Speeding Up Tracking by Ignoring Features CVPR 2014 Stable Learning in Coding Space for Multi-Class Decoding and Its Extension for Multi-Class Hypothesis Transfer Learning CVPR 2014 Stochastic Neighbor Compression ICML 2014 Structured Denoising Autoencoder for Fault Detection and Analysis ACML 2014 Structured Prediction of Network Response ICML 2014 Structured Prediction via Output Space Search JMLR 2014 Structure Regularization for Structured Prediction NeurIPS 2014 Support vector machines with indefinite kernels ACML 2014 Surrogate Regret Bounds for Bipartite Ranking via Strongly Proper Losses JMLR 2014 Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits ICML 2014 The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification NeurIPS 2014 The Coherent Loss Function for Classification ICML 2014 The Complexity of Learning Halfspaces using Generalized Linear Methods COLT 2014 The Gesture Recognition Toolkit JMLR 2014 The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities CVPR 2014 The Secrets of Salient Object Segmentation CVPR 2014 The Shape-Time Random Field for Semantic Video Labeling CVPR 2014 The Synthesizability of Texture Examples CVPR 2014 Three Guidelines of Online Learning for Large-Scale Visual Recognition CVPR 2014 Tight Bounds for the Expected Risk of Linear Classifiers and PAC-Bayes Finite-Sample Guarantees AISTATS 2014