Classification

A Learning-to-Rank Approach for Image Color Enhancement CVPR 2014 Analysis of Learning from Positive and Unlabeled Data NeurIPS 2014 An Efficient Approach for Assessing Hyperparameter Importance ICML 2014 A New Perspective on Learning Linear Separators with Large L_qL_p Margins AISTATS 2014 A New Perspective on Material Classification and Ink Identification CVPR 2014 A Representation Theory for Ranking Functions NeurIPS 2014 A Safe Screening Rule for Sparse Logistic Regression NeurIPS 2014 Attentional Neural Network: Feature Selection Using Cognitive Feedback NeurIPS 2014 A Unified Semantic Embedding: Relating Taxonomies and Attributes NeurIPS 2014 Automated inference of point of view from user interactions in collective intelligence venues ICML 2014 A Wild Bootstrap for Degenerate Kernel Tests NeurIPS 2014 Bags of Spacetime Energies for Dynamic Scene Recognition CVPR 2014 Bat Call Identification with Gaussian Process Multinomial Probit Regression and a Dynamic Time Warping Kernel AISTATS 2014 Bayesian Co-Boosting for Multi-modal Gesture Recognition JMLR 2014 Bayesian Inference with Posterior Regularization and Applications to Infinite Latent SVMs JMLR 2014 Bayesian Max-margin Multi-Task Learning with Data Augmentation ICML 2014 Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling NeurIPS 2014 Bayes-Optimal Scorers for Bipartite Ranking COLT 2014 Beyond Comparing Image Pairs: Setwise Active Learning for Relative Attributes CVPR 2014 Beyond Disagreement-Based Agnostic Active Learning NeurIPS 2014 Birdsnap: Large-scale Fine-grained Visual Categorization of Birds CVPR 2014 Boosting Algorithms for Detector Cascade Learning JMLR 2014 Bregman Divergences for Infinite Dimensional Covariance Matrices CVPR 2014 Classification of Histology Sections via Multispectral Convolutional Sparse Coding CVPR 2014 Classifier Cascades and Trees for Minimizing Feature Evaluation Cost JMLR 2014