3086 search results - page 125 / 618 » Generalized Discriminant Analysis Using a Kernel Approach |
104
Voted
ICNC
2005
Springer
15 years 8 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...
116
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EOR
2008
15 years 2 months ago
2008
We suggest a new heuristic for solving unconstrained continuous optimization problems. It is based on a generalized version of the variable neighborhood search metaheuristic. Diff...
159
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VLSID
2009
IEEE
16 years 3 months ago
2009
IEEE
Many system-level design tasks (e.g. timing analysis, hardware/software partitioning and design space exploration) involve computational kernels that are intractable (usually NP-ha...
115
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JCNS
2010
14 years 9 months ago
2010
A number of important data analysis problems in neuroscience can be solved using state-space models. In this article, we describe fast methods for computing the exact maximum a pos...
125
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ICDM
2007
IEEE
15 years 6 months ago
2007
IEEE
Recently the problem of dimensionality reduction (or, subspace learning) has received a lot of interests in many fields of information processing, including data mining, informati...