Fast solvers and efficient implementations for distance metric learning (2008)

by Kilian Q. Weinberger , Lawrence K. Saul
Venue:In ICML
Citations:41 - 5 self

Active Bibliography

Metric Learning with . . . – Kilian Quirin Weinberger - 2007
326 Distance metric learning for large margin nearest neighbor classification – Kilian Q. Weinberger, John Blitzer, Lawrence K. Saul - 2006
1 Positive semidefinite metric learning using boosting-like algorithms – Chunhua Shen, junae kim, Lei Wang, Anton van den Hengel - 2012
7 Distance metric learning with eigenvalue optimization – Yiming Ying, Peng Li, Sören Sonnenburg, Francis Bach, Cheng Soon Ong - 2012
Measuring Image Distances via Embedding in a Semantic Manifold – Chen Fang, Lorenzo Torresani
2 A deep non-linear feature mapping for largemargin kNN classification – Renqiang Min, Zineng Yuan, David A. Stanley, Anthony Bonner, Zhaolei Zhang - 2009
Online As Above As Above Per-Exemplar Lazy Too Slow – Offline Global, Per-class Small, Db Only
15 S.: Local distance functions: A taxonomy, new algorithms, and an evaluation – Deva Ramanan
6 Positive Semidefinite Metric Learning with Boosting – Chunhua Shen, Junae Kim, Lei Wang, Anton Van Den Hengel
Supervisors: – Jason Victor Davis, Inderjit Dhillon Supervisor, Emmett Witchel Supervisor, Joydeep Ghosh, Greg Hamerly, Jason Victor Davis, Jason Victor Davis, Ph. D, Inderjit Dhillon, Emmett Witchel
Mixtures of Large Margin Nearest Neighbor Classifiers – Murat Semerci, Ethem Alpaydın
1 Dis-Function: Learning Distance Functions Interactively – Eli T. Brown, Jingjing Liu, Carla E. Brodley, Remco Chang
4 Gsml: A unified framework for sparse metric learning – Kaizhu Huang, Yiming Ying, Colin Campbell - 2009
2 F.: PCCA: A new approach for distance learning from sparse pairwise constraints – Alexis Mignon, Frédéric Jurie
1 Non-linear Metric Learning – Dor Kedem, Stephen Tyree, Kilian Q. Weinberger, Fei Sha, Gert Lanckriet
complexes en haute – Olivier Delalleau, Examen Pré-doctoral
Local Discriminative Distance Metrics Ensemble Learning – Yang Mu A, Wei Ding A, Dacheng Tao B
4 Metric Learning: A Support Vector Approach – Nam Nguyen, Yunsong Guo
Mirror Descent for Metric Learning: A Unified Approach – Gautam Kunapuli, Jude Shavlik