Classification

Scalable Semi-Supervised Aggregation of Classifiers NeurIPS 2015 Scalable Variational Gaussian Process Classification AISTATS 2015 Semantics-Preserving Hashing for Cross-View Retrieval CVPR 2015 Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding NeurIPS 2015 Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data NeurIPS 2015 Semi-Supervised Low-Rank Mapping Learning for Multi-Label Classification CVPR 2015 Shape Driven Kernel Adaptation in Convolutional Neural Network for Robust Facial Traits Recognition CVPR 2015 Simpler Non-Parametric Methods Provide as Good or Better Results to Multiple-Instance Learning ICCV 2015 Simultaneous Foreground Detection and Classification With Hybrid Features ICCV 2015 Single Target Tracking Using Adaptive Clustered Decision Trees and Dynamic Multi-Level Appearance Models CVPR 2015 Social Saliency Prediction CVPR 2015 Sparse Local Embeddings for Extreme Multi-label Classification NeurIPS 2015 Sparse Representation Classification With Manifold Constraints Transfer CVPR 2015 Spherical Random Features for Polynomial Kernels NeurIPS 2015 Statistical Unfolded Logic Learning ACML 2015 Structural Kernel Learning for Large Scale Multiclass Object Co-Detection ICCV 2015 Structural Maxent Models ICML 2015 Structured Feature Selection ICCV 2015 Supervised Discrete Hashing CVPR 2015 Supervised Learning via Euler's Elastica Models JMLR 2015 Support Matrix Machines ICML 2015 Surrogate Functions for Maximizing Precision at the Top ICML 2015 Surrogate regret bounds for generalized classification performance metrics ACML 2015 Task-Driven Feature Pooling for Image Classification ICCV 2015 Teaching Machines to Read and Comprehend NeurIPS 2015