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IJCV
2008
155views more  IJCV 2008»
15 years 7 months ago
Fast Transformation-Invariant Component Analysis
For software and more illustrations: http://www.psi.utoronto.ca/anitha/fastTCA.htm Dimensionality reduction techniques such as principal component analysis and factor analysis are...
Anitha Kannan, Nebojsa Jojic, Brendan J. Frey
ESWA
2006
165views more  ESWA 2006»
15 years 7 months ago
Optimal ensemble construction via meta-evolutionary ensembles
In this paper we propose a meta-evolutionary approach to improve on the performance of individual classifiers. In the proposed system, individual classifiers evolve, competing to ...
YongSeog Kim, W. Nick Street, Filippo Menczer
IJHPCA
2008
104views more  IJHPCA 2008»
15 years 7 months ago
Low-Complexity Principal Component Analysis for Hyperspectral Image Compression
Principal component analysis (PCA) is an effective tool for spectral decorrelation of hyperspectral imagery, and PCA-based spectral transforms have been employed successfully in co...
Qian Du, James E. Fowler
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IJISTA
2008
99views more  IJISTA 2008»
15 years 7 months ago
Increasing depth lateral resolution based on sensor fusion
Abstract: Technologies for measuring range data were intensively developed in recent years. The time-of-flight matrix range sensor is one of the most active range acquisition devic...
W. Hannemann, André Linarth, B. Liu, Gabrie...
ISI
2008
Springer
15 years 7 months ago
A Collaborative Forensics Framework for VoIP Services in Multi-network Environments
We propose a collaborative forensics framework to trace back callers of VoIP services in a multi-network environment. The paper is divided into two parts. The first part discusses ...
Hsien-Ming Hsu, Yeali S. Sun, Meng Chang Chen
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