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Metric Learning

2,854 papers

Papers per year

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Papers

Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning NIPS 2012
Feature-aware Label Space Dimension Reduction for Multi-label Classification NIPS 2012
Semantic Kernel Forests from Multiple Taxonomies NIPS 2012
Optimal kernel choice for large-scale two-sample tests NIPS 2012
Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning NIPS 2012
One Permutation Hashing NIPS 2012
A Geometric take on Metric Learning NIPS 2012
Angular Quantization-based Binary Codes for Fast Similarity Search NIPS 2012
A Note on Metric Properties for Some Divergence Measures: The Gaussian Case ACML 2012
A Ranking-based KNN Approach for Multi-Label Classification ACML 2012
Max-Margin Ratio Machine ACML 2012
Multi-Stage Classifier Design ACML 2012
On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models AISTATS 2012
A metric learning perspective of SVM: on the relation of LMNN and SVM AISTATS 2012
Distance Preserving Embeddings for General n-Dimensional Manifolds COLT 2012
Distance Metric Learning with Eigenvalue Optimization JMLR 2012
Online Learning in the Embedded Manifold of Low-rank Matrices JMLR 2012
Metric and Kernel Learning Using a Linear Transformation JMLR 2012
A Kernel Two-Sample Test JMLR 2012
Algorithms for Learning Kernels Based on Centered Alignment JMLR 2012
Positive Semidefinite Metric Learning Using Boosting-like Algorithms JMLR 2012
k-NN Regression Adapts to Local Intrinsic Dimension NIPS 2011
Maximum Margin Multi-Instance Learning NIPS 2011
Convergent Bounds on the Euclidean Distance NIPS 2011
Learning Anchor Planes for Classification NIPS 2011