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Metric Learning

2,854 papers

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Papers

Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification CVPR 2014
Discriminative Deep Metric Learning for Face Verification in the Wild CVPR 2014
Adaptive Object Retrieval with Kernel Reconstructive Hashing CVPR 2014
Asymmetric Sparse Kernel Approximations for Large-scale Visual Search CVPR 2014
Locally Linear Hashing for Extracting Non-Linear Manifolds CVPR 2014
Dual Linear Regression Based Classification for Face Cluster Recognition CVPR 2014
Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis CVPR 2014
Discriminative Sparse Inverse Covariance Matrix: Application in Brain Functional Network Classification CVPR 2014
Robust 3D Tracking with Descriptor Fields CVPR 2014
Unifying Spatial and Attribute Selection for Distracter-Resilient Tracking CVPR 2014
Large-Scale Visual Font Recognition CVPR 2014
Multilabel Ranking with Inconsistent Rankers CVPR 2014
Large-Margin Metric Learning for Constrained Partitioning Problems ICML 2014
Learning Graphs with a Few Hubs ICML 2014
Spectral Bandits for Smooth Graph Functions ICML 2014
Geodesic Distance Function Learning via Heat Flow on Vector Fields ICML 2014
Anomaly Ranking as Supervised Bipartite Ranking ICML 2014
Two-Stage Metric Learning ICML 2014
Stochastic Neighbor Compression ICML 2014
Global graph kernels using geometric embeddings ICML 2014
Multivariate Maximal Correlation Analysis ICML 2014
Local Ordinal Embedding ICML 2014
Maximum Margin Multiclass Nearest Neighbors ICML 2014
Nearest Neighbors Using Compact Sparse Codes ICML 2014
Nonlinear Information-Theoretic Compressive Measurement Design ICML 2014