Classification

Large-Scale Visual Font Recognition CVPR 2014 Latent Dictionary Learning for Sparse Representation based Classification CVPR 2014 Latent Support Measure Machines for Bag-of-Words Data Classification NeurIPS 2014 Learnability of the Superset Label Learning Problem ICML 2014 Learning a Concept Hierarchy from Multi-labeled Documents NeurIPS 2014 Learning an Image-based Motion Context for Multiple People Tracking CVPR 2014 Learning Distributed Representations for Structured Output Prediction NeurIPS 2014 Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification CVPR 2014 Learning Mixtures of Linear Classifiers ICML 2014 Learning Mixtures of Submodular Functions for Image Collection Summarization NeurIPS 2014 Learning Structured Models with the AUC Loss and Its Generalizations AISTATS 2014 Learning the Consistent Behavior of Common Users for Target Node Prediction across Social Networks ICML 2014 Learning to Group Objects CVPR 2014 Learning with Augmented Multi-Instance View ACML 2014 Least Squares Revisited: Scalable Approaches for Multi-class Prediction ICML 2014 Leveraging Hierarchical Parametric Networks for Skeletal Joints Based Action Segmentation and Recognition CVPR 2014 LIBOL: A Library for Online Learning Algorithms JMLR 2014 Linear Ranking Analysis CVPR 2014 Linear Time Solver for Primal SVM ICML 2014 Local Decorrelation For Improved Pedestrian Detection NeurIPS 2014 Local Regularity-driven City-scale Facade Detection from Aerial Images CVPR 2014 Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces NeurIPS 2014 Logistic Regression: Tight Bounds for Stochastic and Online Optimization COLT 2014 Magnitude-sensitive preference formation` NeurIPS 2014 Making Fisher Discriminant Analysis Scalable ICML 2014