93 search results - page 10 / 19 » Subspace independent component analysis using vector kurtosi... |
112
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ICPR
2004
IEEE
16 years 23 days ago
2004
IEEE
In the past decade or so, subspace methods have been largely used in face recognition ? generally with quite success. Subspace approaches, however, generally assume the training d...
115
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ICCS
2007
Springer
15 years 5 months ago
2007
Springer
We present a Dynamic Data Driven Application System (DDDAS) to track 2D shapes across large pose variations by learning non-linear shape manifold as overlapping, piecewise linear s...
ICIP
2002
IEEE
16 years 1 months ago
2002
IEEE
This paper describes a pattern classification approach for detecting frontal-view faces via learning a decision boundary. The classification can be achieved either by explicit est...
117
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TNN
2008
14 years 11 months ago
2008
Abstract--Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) ...
88
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IWPC
2009
IEEE
15 years 6 months ago
2009
IEEE
In this paper, we introduce a technique for applying Independent Component Analysis to vector space representations of software code fragments such as methods or blocks. The dista...