Distance metric learning for large margin nearest neighbor classification (2006)

by Kilian Q. Weinberger , John Blitzer , Lawrence K. Saul
Venue:In NIPS
Citations:595 - 13 self

Active Bibliography

Metric Learning with . . . – Kilian Quirin Weinberger - 2007
For – Kilian Quirin Weinberger, Lawrence K. Saul, Rajeev Alur, Kilian Quirin Weinberger, Marc Corliss, Timothee Cour, Koby Crammer, Nikhil Dinesh, Yuan Ding, Mark Dredze, Georgios E. Fainekos, Pauline Sachar, Ted S, Fei Sha, Marcelo Siqueira, Siddharth Suri, Paul Vernaza, Mirko Visontai, Hanna Wallach, Jenn Wortman - 2007
Learning distance functions: . . . – Tomer Hertz - 2006
176 Unsupervised Learning of Image Manifolds by Semidefinite Programming – Kilian Q. Weinberger , Lawrence K. Saul - 2004
Action categorization . . . – Jianguo Zhang , Shaogang Gong - 2010
759 Approximate Nearest Neighbors: Towards Removing the Curse of Dimensionality – Piotr Indyk, Rajeev Motwani - 1998
814 Gradient-based learning applied to document recognition – Yann Lecun, LĂ©on Bottou, Yoshua Bengio, Patrick Haffner - 1998
752 Statistical pattern recognition: A review – Anil K. Jain, Robert P. W. Duin, Jianchang Mao - 2000
461 Similarity search in high dimensions via hashing – Aristides Gionis, Piotr Indyk, Rajeev Motwani - 1999