1778 search results - page 264 / 356 » On the Power of the Randomized Iterate |
187
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UAI
2008
15 years 7 months ago
2008
Linear Programming (LP) relaxations have become powerful tools for finding the most probable (MAP) configuration in graphical models. These relaxations can be solved efficiently u...
149
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VIIP
2001
15 years 7 months ago
2001
Graphics cards exercise increasingly more computing power and are highly optimized for high data transfer volumes. In contrast typical workstations perform badly when data exceeds...
169
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UAI
2003
15 years 7 months ago
2003
The paper explores the power of two systematic Branch and Bound search algorithms that exploit partition-based heuristics, BBBT (a new algorithm for which the heuristic informatio...
145
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AMCS
2008
15 years 6 months ago
2008
Principal component analysis (PCA) is a powerful fault detection and isolation method. However, the classical PCA which is based on the estimation of the sample mean and covariance...
174
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CORR
2010
Springer
15 years 6 months ago
2010
Springer
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...