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» Exploiting Decomposition in Constraint Optimization Problems
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IJON
2002
128views more  IJON 2002»
13 years 8 months ago
Extraction of a source from multichannel data using sparse decomposition
It was discovered recently that sparse decomposition by signal dictionaries results in dramatic improvement of the qualities of blind source separation. We exploit sparse decompos...
Michael Zibulevsky, Yehoshua Y. Zeevi
FOIKS
2008
Springer
13 years 10 months ago
Autonomous Sets - A Method for Hypergraph Decomposition with Applications in Database Theory
We present a method for decomposing a hypergraph with certain regularities into smaller hypergraphs. By applying this to the set of all canonical covers of a given set of functiona...
Henning Köhler
MP
2002
84views more  MP 2002»
13 years 8 months ago
A decomposition procedure based on approximate Newton directions
The efficient solution of large-scale linear and nonlinear optimization problems may require exploiting any special structure in them in an efficient manner. We describe and analy...
Antonio J. Conejo, Francisco J. Nogales, Francisco...
TSP
2008
109views more  TSP 2008»
13 years 8 months ago
Code Design to Optimize Radar Detection Performance Under Accuracy and Similarity Constraints
This paper deals with the design of coded waveforms which optimize radar performances in the presence of colored Gaussian disturbance. We focus on the class of linearly coded puls...
Antonio De Maio, Silvio De Nicola, Yongwei Huang, ...
AI
2003
Springer
14 years 1 months ago
A Graph Based Backtracking Algorithm for Solving General CSPs
Many AI tasks can be formalized as constraint satisfaction problems (CSPs), which involve finding values for variables subject to constraints. While solving a CSP is an NP-complet...
Wanlin Pang, Scott D. Goodwin