1224 search results - page 100 / 245 » On the Optimality of the Dimensionality Reduction Method |
156
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CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
This paper examines the problem of extracting lowdimensional manifold structure given millions of highdimensional face images. Specifically, we address the computational challenge...
165
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
Dimensionality reduction is an important pre-processing step for many applications. Linear Discriminant Analysis (LDA) is one of the well known methods for supervised dimensionali...
175
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PR
2007
15 years 5 months ago
2007
Feature extraction is among the most important problems in face recognition systems. In this paper, we propose an enhanced kernel discriminant analysis (KDA) algorithm called kern...
165
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VTS
1997
IEEE
15 years 10 months ago
1997
IEEE
Accumulators based on addition or subtraction can be used as test pattern generators. Some circuits, however, require long test lengths if the parameters of the accumulator are no...
159
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
We analyze the formal grounding behind Negative Correlation (NC) Learning, an ensemble learning technique developed in the evolutionary computation literature. We show that by rem...