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Metric Learning

2800 directly classified papers

Papers per year

Papers

Efficient Learning of Mahalanobis Metrics for Ranking ICML 2014
Prediction and Clustering in Signed Networks: A Local to Global Perspective JMLR 2014
Large-Margin Metric Learning for Constrained Partitioning Problems ICML 2014
Anomaly Ranking as Supervised Bipartite Ranking ICML 2014
Global graph kernels using geometric embeddings ICML 2014
Two-Stage Metric Learning ICML 2014
Stochastic Neighbor Compression ICML 2014
Rate-Invariant Analysis of Trajectories on Riemannian Manifolds with Application in Visual Speech Recognition CVPR 2014
Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification CVPR 2014
Maximum Margin Multiclass Nearest Neighbors ICML 2014
Geodesic Distance Function Learning via Heat Flow on Vector Fields ICML 2014
Multivariate Maximal Correlation Analysis ICML 2014
Nearest Neighbors Using Compact Sparse Codes ICML 2014
Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis CVPR 2014
Nonlinear Information-Theoretic Compressive Measurement Design ICML 2014
large scale canonical correlation analysis with iterative least squares NIPS 2014
Quantized Kernel Learning for Feature Matching NIPS 2014
Metric Learning for Temporal Sequence Alignment NIPS 2014
Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology NIPS 2014
Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence AISTATS 2014
Robust 3D Tracking with Descriptor Fields CVPR 2014
Uniqueness of Ordinal Embedding COLT 2014
High-Dimensional Density Ratio Estimation with Extensions to Approximate Likelihood Computation AISTATS 2014
Dual Linear Regression Based Classification for Face Cluster Recognition CVPR 2014
Collaborative Ranking for Local Preferences AISTATS 2014