1224 search results - page 61 / 245 » On the Optimality of the Dimensionality Reduction Method |
155
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ICCAD
1999
IEEE
15 years 10 months ago
1999
IEEE
Krylov-subspace based methods for generating low-order models of complicated interconnect are extremely effective, but there is no optimality theory for the resulting models. Alte...
150
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CDC
2009
IEEE
15 years 11 months ago
2009
IEEE
A dimension reduction method called Discrete Empirical Interpolation (DEIM) is proposed and shown to dramatically reduce the computational complexity of the popular Proper Orthogo...
211
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JMLR
2012
13 years 8 months ago
2012
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
134
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DAC
1999
ACM
16 years 7 months ago
1999
ACM
We propose a method for power optimization that considers glitch reduction by gate sizing based on the statistical estimation of glitch transitions. Our method reduces not only th...
147
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AAAI
2006
15 years 7 months ago
2006
Over the past few years, some embedding methods have been proposed for feature extraction and dimensionality reduction in various machine learning and pattern classification tasks...