Similarity-based Classification: Concepts and Algorithms
Y. Chen, E. K. Garcia, M. R. Gupta, A. Rahimi and L. Cazzanti,
JMLR
2009
Added: Monday, April 06, 2009 by Yihua Chen - University of Washington
Tags:
classification, learning, similarity
Kernel-based data fusion and its application to protein function predi...
G. R. G. Lanckriet, M. Deng, N. Cristianini, M. I. Jordan, and W. S. Noble,
Pacific Symposium on Biocomputing
2004
Added: Tuesday, March 10, 2009 by Yihua Chen - University of Washington
Tags:
Classification, MultipleKernelLearning, SVM
An SMO Algorithm for the Potential Support Vector Machine
T. Knebel, S. Hochreiter and K. Obermayer,
Neural Computation
2008
Added: Monday, December 29, 2008 by Yihua Chen - University of Washington
Tags:
Learning, SVM, Classification
Local Similarity Discriminant Analysis
L. Cazzanti and M. R. Gupta,
ICML
2007
Added: Monday, December 29, 2008 by Yihua Chen - University of Washington
Tags:
Classification, GenerativeModel, Similarity
Support Vector Machines for Dyadic Data
S. Hochreiter and K. Obermayer,
Neural Computation
2006
Added: Monday, December 29, 2008 by Yihua Chen - University of Washington
Tags:
Learning, SVM, Classification
Support Vector Machine Classification with Indefinite Kernels
R. Luss and A. d'Aspremont,
NIPS
2007
Added: Monday, December 29, 2008 by Yihua Chen - University of Washington
Tags:
Classification, SVM
Learning Similarity with Operator-valued Large-margin Classifiers
A. Maurer,
JMLR
2008
Added: Friday, January 23, 2009 by Andreas Maurer - none
Tags:
Classification, Learning, Similarity
SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Cat...
H. Zhang and A. C. Berg and M. Maire and J. Malik,
CVPR
2006
Added: Monday, December 29, 2008 by Yihua Chen - University of Washington
Tags:
SVM, Classification, Vision