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ICML
2007
IEEE
16 years 19 days ago
Local similarity discriminant analysis
We propose a local, generative model for similarity-based classification. The method is applicable to the case that only pairwise similarities between samples are available. The c...
Luca Cazzanti, Maya R. Gupta
IJCNN
2008
IEEE
15 years 6 months ago
Feature selection based on kernel discriminant analysis for multi-class problems
— We propose a feature selection criterion based on kernel discriminant analysis (KDA) for an -class problem, which finds eigenvectors on which the projected class data are loca...
Tsuneyoshi Ishii, Shigeo Abe
ICMCS
2006
IEEE
110views Multimedia» more  ICMCS 2006»
15 years 5 months ago
Image Replica Detection using R-Trees and Linear Discriminant Analysis
In this paper a novel system for image replica detection is presented. The system uses color-based descriptors in order to extract robust features for image representation. These ...
Spyros Nikolopoulos, Stefanos Zafeiriou, Panagioti...
NAACL
2003
15 years 1 months ago
Discriminating Among Word Senses Using McQuitty's Similarity Analysis
This paper presents an unsupervised method for discriminating among the senses of a given target word based on the context in which it occurs. Instances of a word that occur in si...
Amruta Purandare
SDM
2009
SIAM
180views Data Mining» more  SDM 2009»
15 years 9 months ago
Hierarchical Linear Discriminant Analysis for Beamforming.
This paper demonstrates the applicability of the recently proposed supervised dimension reduction, hierarchical linear discriminant analysis (h-LDA) to a well-known spatial locali...
Barry L. Drake, Haesun Park, Jaegul Choo