Sciweavers

332 search results - page 3 / 67
» On the Performance of Chernoff-Distance-Based Linear Dimensi...
Sort
View
ECCV
2004
Springer
15 years 11 months ago
Dimensionality Reduction by Canonical Contextual Correlation Projections
A linear, discriminative, supervised technique for reducing feature vectors extracted from image data to a lower-dimensional representation is proposed. It is derived from classica...
Marco Loog, Bram van Ginneken, Robert P. W. Duin
KDD
2002
ACM
146views Data Mining» more  KDD 2002»
15 years 10 months ago
Non-linear dimensionality reduction techniques for classification and visualization
Michail Vlachos, Carlotta Domeniconi, Dimitrios Gu...
WACV
2002
IEEE
15 years 2 months ago
An Experimental Evaluation of Linear and Kernel-Based Methods for Face Recognition
In this paper we present the results of a comparative study of linear and kernel-based methods for face recognition. The methods used for dimensionality reduction are Principal Co...
Himaanshu Gupta, Amit K. Agrawal, Tarun Pruthi, Ch...
IRI
2007
IEEE
15 years 3 months ago
Enhancing Text Analysis via Dimensionality Reduction
Many applications require analyzing vast amounts of textual data, but the size and inherent noise of such data can make processing very challenging. One approach to these issues i...
David G. Underhill, Luke McDowell, David J. Marche...
CVPR
2008
IEEE
15 years 11 months ago
Semi-Supervised Discriminant Analysis using robust path-based similarity
Linear Discriminant Analysis (LDA), which works by maximizing the within-class similarity and minimizing the between-class similarity simultaneously, is a popular dimensionality r...
Yu Zhang, Dit-Yan Yeung