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WECWIS
2005
IEEE
137views ECommerce» more  WECWIS 2005»
14 years 1 months ago
Using Singular Value Decomposition Approximation for Collaborative Filtering
Singular Value Decomposition (SVD), together with the Expectation-Maximization (EM) procedure, can be used to find a low-dimension model that maximizes the loglikelihood of obser...
Sheng Zhang, Weihong Wang, James Ford, Fillia Make...
AAAI
2007
13 years 10 months ago
Filtering, Decomposition and Search Space Reduction for Optimal Sequential Planning
We present in this paper a hybrid planning system which combines constraint satisfaction techniques and planning heuristics to produce optimal sequential plans. It integrates its ...
Stéphane Grandcolas, C. Pain-Barre
ICASSP
2011
IEEE
12 years 11 months ago
Least squares approximation and polyphase decomposition for pipelining recursive filters
Current techniques used in pipelining recursive filters require significant hardware complexity. These techniques attempt to preserve the exact frequency response of the origina...
Aditya Gupta, Andrew C. Singer, Naresh R. Shanbhag
CP
2005
Springer
14 years 1 months ago
Tree Decomposition with Function Filtering
Besides search, complete inference methods can also be used to solve soft constraint problems. Their main drawback is the high spatial complexity. To improve its practical usage, w...
Martí Sánchez, Javier Larrosa, Pedro...
CDC
2010
IEEE
128views Control Systems» more  CDC 2010»
13 years 2 months ago
Decentralization of particle filters using arbitrary state decomposition
In this paper, a new particle filter (PF) which we refer to as the decentralized PF (DPF) is proposed. By first decomposing the state into two parts, the DPF splits the filtering p...
Tianshi Chen, Thomas B. Schön, Henrik Ohlsson...