487 search results - page 52 / 98 » On applying linear discriminant analysis for multi-labeled p... |
133
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TKDE
2011
14 years 6 months ago
2011
—Discriminant feature extraction plays a central role in pattern recognition and classification. Linear Discriminant Analysis (LDA) is a traditional algorithm for supervised feat...
ICNC
2005
Springer
15 years 5 months ago
2005
Springer
Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) techniques are important and well-developed area of image recognition and to date many linear discriminati...
ICA
2007
Springer
15 years 6 months ago
2007
Springer
The discussion in this paper revolves around the notion of separation problems. The latter can be thought of as a unifying concept which includes a variety of important problems in...
127
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IPL
2008
14 years 11 months ago
2008
Abstract. We establish linear-time reductions between the minimization of a deterministic finite automaton (DFA) and the conjunction of 3 subproblems: the minimization of a strongl...
114
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BMCBI
2010
14 years 12 months ago
2010
Background: The receiver operating characteristic (ROC) curve is a fundamental tool to assess the discriminant performance for not only a single marker but also a score function c...