Classification

In Defense of Sparsity Based Face Recognition CVPR 2013 Inference algorithms for pattern-based CRFs on sequence data ICML 2013 Infinite Markov-Switching Maximum Entropy Discrimination Machines ICML 2013 Infinitesimal Annealing for Training Semi-Supervised Support Vector Machines ICML 2013 Intrinsic Characterization of Dynamic Surfaces CVPR 2013 JKernelMachines: A Simple Framework for Kernel Machines JMLR 2013 Joint Harmonic Functions and Their Supervised Connections JMLR 2013 Joint Learning of Discriminative Prototypes and Large Margin Nearest Neighbor Classifiers ICCV 2013 Joint Sparsity-Based Representation and Analysis of Unconstrained Activities CVPR 2013 Kernel Learning for Extrinsic Classification of Manifold Features CVPR 2013 Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices CVPR 2013 Kernel Null Space Methods for Novelty Detection CVPR 2013 Label-Embedding for Attribute-Based Classification CVPR 2013 Label Partitioning For Sublinear Ranking ICML 2013 Latent Task Adaptation with Large-Scale Hierarchies ICCV 2013 Learning Adaptive Value of Information for Structured Prediction NeurIPS 2013 Learning and Calibrating Per-Location Classifiers for Visual Place Recognition CVPR 2013 Learning by Associating Ambiguously Labeled Images CVPR 2013 Learning Collections of Part Models for Object Recognition CVPR 2013 Learning Convex QP Relaxations for Structured Prediction ICML 2013 Learning Discriminative Illumination and Filters for Raw Material Classification with Optimal Projections of Bidirectional Texture Functions CVPR 2013 Learning Discriminative Part Detectors for Image Classification and Cosegmentation ICCV 2013 Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions NeurIPS 2013 Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets CVPR 2013 Learning Halfspaces Under Log-Concave Densities: Polynomial Approximations and Moment Matching COLT 2013