1224 search results - page 39 / 245 » On the Optimality of the Dimensionality Reduction Method |
169
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ICONIP
2007
15 years 7 months ago
2007
Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
132
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EOR
2002
15 years 5 months ago
2002
The paper studies the connections and differences between bilevel problems (BL) and generalized semi-infinite problems (GSIP). Under natural assumptions (GSIP) can be seen as a sp...
149
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ICCS
2005
Springer
15 years 11 months ago
2005
Springer
Existing methods for time series clustering rely on the actual data values can become impractical since the methods do not easily handle dataset with high dimensionality, missing v...
158
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ICDAR
2009
IEEE
15 years 3 months ago
2009
IEEE
Different strategies for combination of complementary features in an HMM-based method for handwritten character recognition are evaluated. In addition, a noise reduction method is...
168
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CORR
2011
Springer
15 years 1 months ago
2011
Springer
This paper introduces a new method for proving global stability of fluid flows through the construction of Lyapunov functionals. For finite dimensional approximations of fluid...