7006 search results - page 1205 / 1402 » Approximation Algorithms |
194
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ICA
2010
Springer
15 years 7 months ago
2010
Springer
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...
190
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BMCBI
2010
15 years 6 months ago
2010
Background: Feature selection is an important pre-processing task in the analysis of complex data. Selecting an appropriate subset of features can improve classification or cluste...
175
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CSL
2010
Springer
15 years 6 months ago
2010
Springer
We propose a unified global entropy reduction maximization (GERM) framework for active learning and semi-supervised learning for speech recognition. Active learning aims to select...
165
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TCSV
2008
15 years 6 months ago
2008
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
202
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BMCBI
2005
15 years 6 months ago
2005
Background: The sequencing of the human genome has enabled us to access a comprehensive list of genes (both experimental and predicted) for further analysis. While a majority of t...