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Metric Learning

2,854 papers

Papers per year

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Papers

Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization ICML 2014
Efficient Learning of Mahalanobis Metrics for Ranking ICML 2014
Ground Metric Learning JMLR 2014
Prediction and Clustering in Signed Networks: A Local to Global Perspective JMLR 2014
One-Shot-Learning Gesture Recognition using HOG-HOF Features JMLR 2014
Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression NIPS 2013
Sign Cauchy Projections and Chi-Square Kernel NIPS 2013
The Power of Asymmetry in Binary Hashing NIPS 2013
Similarity Component Analysis NIPS 2013
Direct 0-1 Loss Minimization and Margin Maximization with Boosting NIPS 2013
Scalable kernels for graphs with continuous attributes NIPS 2013
A Latent Source Model for Nonparametric Time Series Classification NIPS 2013
The Randomized Dependence Coefficient NIPS 2013
Sinkhorn Distances: Lightspeed Computation of Optimal Transport NIPS 2013
k-Prototype Learning for 3D Rigid Structures NIPS 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
Generalized Aitchison Embeddings for Histograms ACML 2013
Learning a Metric Space for Neighbourhood Topology Estimation: Application to Manifold Learning ACML 2013
Coinciding Walk Kernels: Parallel Absorbing Random Walks for Learning with Graphs and Few Labels ACML 2013
Online Similarity Prediction of Networked Data from Known and Unknown Graphs COLT 2013
Compressed Hashing CVPR 2013
Kernel Learning for Extrinsic Classification of Manifold Features CVPR 2013
Binary Code Ranking with Weighted Hamming Distance CVPR 2013
Diffusion Processes for Retrieval Revisited CVPR 2013