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» Class Separability in Spaces Reduced By Feature Selection
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TKDE
2008
133views more  TKDE 2008»
13 years 8 months ago
Rotational Linear Discriminant Analysis Technique for Dimensionality Reduction
The linear discriminant analysis (LDA) technique is very popular in pattern recognition for dimensionality reduction. It is a supervised learning technique that finds a linear tran...
Alok Sharma, Kuldip K. Paliwal
ICASSP
2008
IEEE
14 years 3 months ago
Blind source separation using monochannel overcomplete dictionaries
We propose a new approach to underdetermined Blind Source Separation (BSS) using sparse decomposition over monochannel dictionary atoms and compare it to multichannel dictionary a...
B. Vikrham Gowreesunker, Ahmed H. Tewfik
BMVC
2010
13 years 6 months ago
Discriminative Topics Modelling for Action Feature Selection and Recognition
This paper presents a framework for recognising realistic human actions captured from unconstrained environments. The novelties of this work lie in three aspects. First, we propos...
Matteo Bregonzio, Jian Li, Shaogang Gong, Tao Xian...
BMCBI
2005
118views more  BMCBI 2005»
13 years 8 months ago
Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes
Background: In the clinical context, samples assayed by microarray are often classified by cell line or tumour type and it is of interest to discover a set of genes that can be us...
Thanyaluk Jirapech-Umpai, J. Stuart Aitken
INFOCOM
2008
IEEE
14 years 3 months ago
Reducing Maximum Stretch in Compact Routing
—It is important in communication networks to use routes that are as short as possible (i.e have low stretch) while keeping routing tables small. Recent advances in compact routi...
Mihaela Enachescu, Mei Wang, Ashish Goel