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Metric Learning

2800 directly classified papers

Papers per year

Papers

Robust Structural Metric Learning ICML 2013
Convex formulations of radius-margin based Support Vector Machines ICML 2013
Online Similarity Prediction of Networked Data from Known and Unknown Graphs COLT 2013
Locally Aligned Feature Transforms across Views CVPR 2013
Random Projections as Regularizers: Learning a Linear Discriminant Ensemble from Fewer Observations than Dimensions ACML 2013
Multiclass Latent Locally Linear Support Vector Machines ACML 2013
Fast High Dimensional Vector Multiplication Face Recognition ICCV 2013
Unbiased Metric Learning: On the Utilization of Multiple Datasets and Web Images for Softening Bias ICCV 2013
Large-Scale Image Annotation by Efficient and Robust Kernel Metric Learning ICCV 2013
Supervised Learning with Similarity Functions NIPS 2012
Semantic Kernel Forests from Multiple Taxonomies NIPS 2012
One Permutation Hashing NIPS 2012
A new metric on the manifold of kernel matrices with application to matrix geometric means NIPS 2012
Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery NIPS 2012
Online Learning in the Embedded Manifold of Low-rank Matrices JMLR 2012
Optimal kernel choice for large-scale two-sample tests NIPS 2012
Positive Semidefinite Metric Learning Using Boosting-like Algorithms JMLR 2012
Super-Bit Locality-Sensitive Hashing NIPS 2012
Co-Regularized Hashing for Multimodal Data NIPS 2012
Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning NIPS 2012
Learning from Distributions via Support Measure Machines NIPS 2012
Multi-Stage Classifier Design ACML 2012
Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning NIPS 2012
Max-Margin Ratio Machine ACML 2012
Probabilistic n-Choose-k Models for Classification and Ranking NIPS 2012