Co-occurring keywords · papers mentioning both
Papers
Closed-Form Training of Mahalanobis Distance for Supervised Clustering
CVPR 2016
Mahalanobis Metric Scoring Learned from Weighted Pairwise Constraints in I-Vector Speaker Recognition System
Interspeech 2016
Beyond Mahalanobis Metric: Cayley-Klein Metric Learning
CVPR 2015
Learning Local Invariant Mahalanobis Distances
ICML 2015
Regressive Virtual Metric Learning
NeurIPS 2015
Sample Complexity of Learning Mahalanobis Distance Metrics
NeurIPS 2015
Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence
AISTATS 2014
Distance-Based Network Recovery under Feature Correlation
NeurIPS 2014
Efficient Learning of Mahalanobis Metrics for Ranking
ICML 2014
Large-Margin Metric Learning for Constrained Partitioning Problems
ICML 2014
Metric Learning for Temporal Sequence Alignment
NeurIPS 2014
From Point to Set: Extend the Learning of Distance Metrics
ICCV 2013
Joint Learning of Discriminative Prototypes and Large Margin Nearest Neighbor Classifiers
ICCV 2013
Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression
NeurIPS 2013
Distance Metric Learning with Eigenvalue Optimization
JMLR 2012
Positive Semidefinite Metric Learning Using Boosting-like Algorithms
JMLR 2012
Semantic Kernel Forests from Multiple Taxonomies
NeurIPS 2012
Learning a Distance Metric from a Network
NeurIPS 2011
Learning a Tree of Metrics with Disjoint Visual Features
NeurIPS 2011
Metric Learning with Multiple Kernels
NeurIPS 2011
Inductive Regularized Learning of Kernel Functions
NeurIPS 2010
Distance Metric Learning for Large Margin Nearest Neighbor Classification
JMLR 2009
Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering
NeurIPS 2009
Positive Semidefinite Metric Learning with Boosting
NeurIPS 2009
Online Metric Learning and Fast Similarity Search
NeurIPS 2008