1789 search results - page 68 / 358 » Genetic Algorithms for Component Analysis |
102
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GECCO
2007
Springer
15 years 6 months ago
2007
Springer
A novel optimisation accelerator deploying neural network predictions and objective space direct manipulation strategies is presented. The concept of directing the search through ...
120
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JACM
2011
14 years 2 months ago
2011
This paper is about a curious phenomenon. Suppose we have a data matrix, which is the superposition of a low-rank component and a sparse component. Can we recover each component i...
110
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ICASSP
2009
IEEE
15 years 6 months ago
2009
IEEE
Independent component analysis (ICA) is not only popular for blind source separation but also for unsupervised learning when the observations can be decomposed into some independe...
107
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IDA
2009
Springer
15 years 6 months ago
2009
Springer
Abstract. Accurately evaluating statistical independence among random variables is a key component of Independent Component Analysis (ICA). In this paper, we employ a squared-loss ...
CORR
2010
Springer
14 years 12 months ago
2010
Springer
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...