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» Genetic Algorithms for Component Analysis
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144
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VLSISP
2002
139views more  VLSISP 2002»
15 years 3 months ago
A Modified Minimum Classification Error (MCE) Training Algorithm for Dimensionality Reduction
Dimensionality reduction is an important problem in pattern recognition. There is a tendency of using more and more features to improve the performance of classifiers. However, not...
Xuechuan Wang, Kuldip K. Paliwal
IJCNN
2000
IEEE
15 years 8 months ago
ICA for Noisy Neurobiological Data
ICA (Independent Component Analysis) is a new technique for analyzing multi-variant data. Lots of results are reported in the field of neurobiological data analysis such as EEG (...
Shiro Ikeda, Keisuke Toyama
133
Voted
ICIP
2010
IEEE
15 years 25 days ago
A fast Multilinear ICA algorithm
We extend our previous work on Multilinear Independent Component Analysis (MICA) by introducing a Fast-MICA algorithm that demonstrates the same improvement over classical ICA as ...
Raghu G. Raj, Alan C. Bovik
117
Voted
ADHOCNOW
2005
Springer
15 years 9 months ago
An Intelligent Sensor Network for Oceanographic Data Acquisition
In this paper we describe the deployment of an offshore wireless sensor network and the lightweight intelligence that was integrated into the data acquisition and forwarding softwa...
Chris M. Roadknight, Antonio González, Laur...
EVOW
2003
Springer
15 years 8 months ago
Chromosomal Breakpoint Detection in Human Cancer
Chromosomal aberrations are differences in DNA sequence copy number of chromosome regions 3 . These differences may be crucial genetic events in the development and progression o...
Kees Jong, Elena Marchiori, Aad van der Vaart, Bau...