Classification

kNN Hashing With Factorized Neighborhood Representation ICCV 2015 Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings NeurIPS 2015 Large-scale probabilistic predictors with and without guarantees of validity NeurIPS 2015 Latent Trees for Estimating Intensity of Facial Action Units CVPR 2015 Learnability of Solutions to Conjunctive Queries: The Full Dichotomy COLT 2015 Learning a Descriptor-Specific 3D Keypoint Detector ICCV 2015 Learning a Discriminative Model for the Perception of Realism in Composite Images ICCV 2015 Learning and inference in the presence of corrupted inputs COLT 2015 Learning Deep Object Detectors From 3D Models ICCV 2015 Learning Ensembles of Potential Functions for Structured Prediction With Latent Variables ICCV 2015 Learning from Corrupted Binary Labels via Class-Probability Estimation ICML 2015 Learning From Massive Noisy Labeled Data for Image Classification CVPR 2015 Learning Graph Structure for Multi-Label Image Classification via Clique Generation CVPR 2015 Learning Hypergraph-Regularized Attribute Predictors CVPR 2015 Learning Sparse Low-Threshold Linear Classifiers JMLR 2015 Learning Spatially Regularized Correlation Filters for Visual Tracking ICCV 2015 Learning Submodular Losses with the Lovasz Hinge ICML 2015 Learning to Boost Filamentary Structure Segmentation ICCV 2015 Learning to Detect Motion Boundaries CVPR 2015 Learning To Look Up: Realtime Monocular Gaze Correction Using Machine Learning CVPR 2015 Learning to Rank Based on Subsequences ICCV 2015 Learning to Rank in Person Re-Identification With Metric Ensembles CVPR 2015 Learning Transformations for Clustering and Classification JMLR 2015 Learning with a Wasserstein Loss NeurIPS 2015 Learning With Dataset Bias in Latent Subcategory Models CVPR 2015