4616 search results - page 35 / 924 » Extreme Components Analysis |
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IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
With very noisy data, having plentiful samples eliminates overfitting in nonlinear regression, but not in nonlinear principal component analysis (NLPCA). To overcome this problem...
IPMI
2007
Springer
15 years 10 months ago
2007
Springer
We introduce Localized Components Analysis (LoCA) for describing surface shape variation in an ensemble of biomedical objects using a linear subspace of spatially localized shape c...
IRI
2006
IEEE
15 years 3 months ago
2006
IEEE
Component interoperability is the ability of two or more components to cooperate despite their differences in functional and non-functional aspects such as security or performanc...
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ICANN
2007
Springer
15 years 3 months ago
2007
Springer
Treatment of general structured information by neural networks is an emerging research topic. Here we show how representations for graphs preserving all the information can be devi...
CORR
2007
Springer
14 years 9 months ago
2007
Springer
In this paper, we study the application of sparse principal component analysis (PCA) to clustering and feature selection problems. Sparse PCA seeks sparse factors, or linear combi...