1789 search results - page 60 / 358 » Genetic Algorithms for Component Analysis |
104
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CORR
2007
Springer
14 years 11 months ago
2007
Springer
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a linear combination of the input variables while constraining the number of nonze...
NIPS
2004
15 years 1 months ago
2004
In this paper, linear multilayer ICA (LMICA) is proposed for extracting independent components from quite high-dimensional observed signals such as large-size natural scenes. Ther...
ICANNGA
2007
Springer
15 years 6 months ago
2007
Springer
Chest radiographs play an important role in the diagnosis of lung cancer. Detection of pulmonary nodules in chest radiographs forms the basis of early detection. Due to its sparse ...
ICML
2006
IEEE
16 years 20 days ago
2006
IEEE
Principal component analysis (PCA) minimizes the sum of squared errors (L2-norm) and is sensitive to the presence of outliers. We propose a rotational invariant L1-norm PCA (R1-PC...
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PAMI
2010
14 years 10 months ago
2010
—Although significant efforts have been made in developing nonnegative blind source separation techniques, accurate separation of positive yet dependent sources remains a challen...