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Metric Learning

2800 directly classified papers

Papers per year

Papers

Constructing Robust Affinity Graphs for Spectral Clustering CVPR 2014
Large-Scale Visual Font Recognition CVPR 2014
Iterative Multilevel MRF Leveraging Context and Voxel Information for Brain Tumour Segmentation in MRI CVPR 2014
Decorrelating Semantic Visual Attributes by Resisting the Urge to Share CVPR 2014
One-Shot-Learning Gesture Recognition using HOG-HOF Features JMLR 2014
Near-optimal sample compression for nearest neighbors NIPS 2014
Learning Graphs with a Few Hubs ICML 2014
Learning Fine-grained Image Similarity with Deep Ranking CVPR 2014
Multilabel Ranking with Inconsistent Rankers CVPR 2014
Adaptive Object Retrieval with Kernel Reconstructive Hashing CVPR 2014
Fine-Grained Visual Comparisons with Local Learning CVPR 2014
Measuring Distance Between Unordered Sets of Different Sizes CVPR 2014
Learning Scalable Discriminative Dictionary with Sample Relatedness CVPR 2014
Locally Linear Hashing for Extracting Non-Linear Manifolds CVPR 2014
Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization ICML 2014
Discriminative Sparse Inverse Covariance Matrix: Application in Brain Functional Network Classification CVPR 2014
Spectral Bandits for Smooth Graph Functions ICML 2014
Discriminative Metric Learning by Neighborhood Gerrymandering NIPS 2014
Event Detection using Multi-Level Relevance Labels and Multiple Features CVPR 2014
Multi-Output Learning for Camera Relocalization CVPR 2014
Ground Metric Learning JMLR 2014
Fantope Regularization in Metric Learning CVPR 2014
Multi-View Super Vector for Action Recognition CVPR 2014
Fast and Accurate Image Matching with Cascade Hashing for 3D Reconstruction CVPR 2014
Asymmetric Sparse Kernel Approximations for Large-scale Visual Search CVPR 2014