Classification

From Categories to Individuals in Real Time -- A Unified Boosting Approach CVPR 2014 Gaussian Process Classification and Active Learning with Multiple Annotators ICML 2014 General Stochastic Networks for Classification NeurIPS 2014 Gesture Recognition Portfolios for Personalization CVPR 2014 GEV-Canonical Regression for Accurate Binary Class Probability Estimation when One Class is Rare ICML 2014 Gibbs Max-margin Topic Models with Data Augmentation JMLR 2014 Global Optimization Methods for Extended Fisher Discriminant Analysis AISTATS 2014 Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization ICML 2014 Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting ICML 2014 Hash-SVM: Scalable Kernel Machines for Large-Scale Visual Classification CVPR 2014 Head Pose Estimation Based on Multivariate Label Distribution CVPR 2014 Hierarchical Subquery Evaluation for Active Learning on a Graph CVPR 2014 Hybrid Discriminative-Generative Approach with Gaussian Processes AISTATS 2014 Improving Markov Network Structure Learning Using Decision Trees JMLR 2014 Incremental Activity Modeling and Recognition in Streaming Videos CVPR 2014 Incremental Learning of NCM Forests for Large-Scale Image Classification CVPR 2014 Inference by Learning: Speeding-up Graphical Model Optimization via a Coarse-to-Fine Cascade of Pruning Classifiers NeurIPS 2014 Inferring Analogous Attributes CVPR 2014 Interval Insensitive Loss for Ordinal Classification ACML 2014 Iterative Multilevel MRF Leveraging Context and Voxel Information for Brain Tumour Segmentation in MRI CVPR 2014 Joint Coupled-Feature Representation and Coupled Boosting for AD Diagnosis CVPR 2014 Joint Inference of Multiple Label Types in Large Networks ICML 2014 Jointly Informative Feature Selection AISTATS 2014 Large-Margin Convex Polytope Machine NeurIPS 2014 Large-scale Multi-label Learning with Missing Labels ICML 2014