159 search results - page 14 / 32 » Regularization in matrix relevance learning |
CORR
2011
Springer
14 years 4 months ago
2011
Springer
—While medical imaging typically provides massive amounts of data, the extraction of relevant information for predictive diagnosis remains a difficult challenge. Functional MRI ...
86
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ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
Many kernel learning methods have to assume parametric forms for the target kernel functions, which significantly limits the capability of kernels in fitting diverse patterns. Som...
COLT
2004
Springer
15 years 3 months ago
2004
Springer
Abstract. We consider the problem of estimating an unknown probability distribution from samples using the principle of maximum entropy (maxent). To alleviate overfitting with a v...
76
Voted
ICCV
2005
IEEE
15 years 11 months ago
2005
IEEE
Example-based learning of codes that statistically encode general image classes is of vital importance for computational vision. Recently, non-negative matrix factorization (NMF) ...
111
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BMCBI
2006
14 years 9 months ago
2006
Background: In the Bioinformatics field, a great deal of interest has been given to Non-negative matrix factorization technique (NMF), due to its capability of providing new insig...