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UAI
2003
14 years 11 months ago
Systematic vs. Non-systematic Algorithms for Solving the MPE Task
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...
Radu Marinescu 0002, Kalev Kask, Rina Dechter
AMCS
2008
146views Mathematics» more  AMCS 2008»
14 years 10 months ago
Fault Detection and Isolation with Robust Principal Component Analysis
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...
Yvon Tharrault, Gilles Mourot, José Ragot, ...
CORR
2010
Springer
163views Education» more  CORR 2010»
14 years 10 months ago
Distributed Principal Component Analysis for Wireless Sensor Networks
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 ...
Yann-Aël Le Borgne, Sylvain Raybaud, Gianluca...
CORR
2008
Springer
86views Education» more  CORR 2008»
14 years 10 months ago
Design by Measure and Conquer, A Faster Exact Algorithm for Dominating Set
The measure and conquer approach has proven to be a powerful tool to analyse exact algorithms for combinatorial problems, like Dominating Set and Independent Set. In this paper, we...
Johan M. M. van Rooij, Hans L. Bodlaender
CORR
2007
Springer
105views Education» more  CORR 2007»
14 years 9 months ago
Empirical Evaluation of Four Tensor Decomposition Algorithms
Higher-order tensor decompositions are analogous to the familiar Singular Value Decomposition (SVD), but they transcend the limitations of matrices (second-order tensors). SVD is ...
Peter D. Turney