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Papers (including subtopics)

A la Carte – Learning Fast Kernels AISTATS 2015 A Large-Scale Car Dataset for Fine-Grained Categorization and Verification CVPR 2015 Algorithms for Lipschitz Learning on Graphs COLT 2015 Algorithms for the Hard Pre-Image Problem of String Kernels and the General Problem of String Prediction ICML 2015 Alpha-Beta Divergences Discover Micro and Macro Structures in Data ICML 2015 Alternating Co-Quantization for Cross-Modal Hashing ICCV 2015 Alternating Minimization for Regression Problems with Vector-valued Outputs NeurIPS 2015 A Matrix Decomposition Perspective to Multiple Graph Matching ICCV 2015 Ambient Occlusion via Compressive Visibility Estimation CVPR 2015 A Mixed Bag of Emotions: Model, Predict, and Transfer Emotion Distributions CVPR 2015 A MRF Shape Prior for Facade Parsing With Occlusions CVPR 2015 A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Training Structural SVMs With a Costly Max-Oracle CVPR 2015 A Multitask Point Process Predictive Model ICML 2015 An Adaptive Data Representation for Robust Point-Set Registration and Merging ICCV 2015 An Aligned Subtree Kernel for Weighted Graphs ICML 2015 An Almost Optimal PAC Algorithm COLT 2015 Analysis of Robust PCA via Local Incoherence NeurIPS 2015 A Nearly-Linear Time Framework for Graph-Structured Sparsity ICML 2015 A New Generalized Error Path Algorithm for Model Selection ICML 2015 A New Look at Nearest Neighbours: Identifying Benign Input Geometries via Random Projections ACML 2015 A New Retraction for Accelerating the Riemannian Three-Factor Low-Rank Matrix Completion Algorithm CVPR 2015 An NMF Perspective on Binary Hashing ICCV 2015 A Nonconvex Optimization Framework for Low Rank Matrix Estimation NeurIPS 2015 A Normative Theory of Adaptive Dimensionality Reduction in Neural Networks NeurIPS 2015 A Novel Locally Linear KNN Model for Visual Recognition CVPR 2015