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

by Kilian Q. Weinberger , John Blitzer , Lawrence K. Saul
Venue:In NIPS
Citations:326 - 10 self

Active Bibliography

Metric Learning with . . . – Kilian Quirin Weinberger - 2007
162 Unsupervised Learning of Image Manifolds by Semidefinite Programming – Kilian Q. Weinberger , Lawrence K. Saul - 2004
52 Distance Metric Learning: A Comprehensive Survey – Liu Yang - 2006
E R S I – unknown authors
unknown title – Roland Memisevic, Roland Memisevic - 2008
4 Clustering, Dimensionality Reduction, and Side Information – Hiu Chung Law - 2006
Machine Learning, vol.78, no.1–2, pp.35–61, 2010. 1 Semi-Supervised Local Fisher Discriminant Analysis for Dimensionality Reduction ∗ – Masashi Sugiyama, Tsuyoshi Idé, Shinichi Nakajima
1 SEMI-SUPERVISED LEARNING BASED ON KERNEL METHODS AND GRAPH CUT ALGORITHMS – Tijl De Bie - 2005
4 Metric Learning: A Support Vector Approach – Nam Nguyen, Yunsong Guo
7 Learnable Similarity Functions and Their Applications to Clustering and Record Linkage – Mikhail Bilenko - 2004
48 Dimensionality reduction of multimodal labeled data by local Fisher discriminant analysis – Masashi Sugiyama, Sam Roweis - 2007
SEMI-SUPERVISED DISTANCE METRIC LEARNING FOR VISUAL OBJECT CLASSIFICATION – Hakan Cevikalp, Roberto Paredes
12 Large margin multi-task metric learning – Shibin Parameswaran, Kilian Q. Weinberger
complexes en haute – Olivier Delalleau, Examen Pré-doctoral
Gaussian Kernel Optimization for Pattern Classification – Jie Wang A, Haiping Lu B, K. N. Plataniotis B, Juwei Lu C
Positive Definite Kernels in Machine Learning – Marco Cuturi - 2009
Learning Long-Range Vision for an Offroad Robot – Raia Thaïs Hadsell - 2008
10 SURVEY OF APPEARANCE-BASED METHODS FOR OBJECT RECOGNITION – Peter M. Roth, Martin Winter - 2008
1 Improving Classification with Pairwise Constraints: A Margin-based Approach – Nam Nguyen, Rich Caruana