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108
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NECO
2002
104views more  NECO 2002»
15 years 2 months ago
An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
Harri Valpola, Juha Karhunen
115
Voted
NPL
2002
120views more  NPL 2002»
15 years 2 months ago
A Novel Measure for Quantifying the Topology Preservation of Self Organizing Feature Maps
Recently, feature maps have been applied to various problem domains.The success of some of these applications critically depends on whether feature maps are topologically ordered. ...
Mu-Chun Su, Hsiao-Te Chang, Chien-Hsing Chou
160
Voted
OR
2007
Springer
15 years 2 months ago
Hybrid heuristics for the probabilistic maximal covering location-allocation problem
The Maximal Covering Location Problem (MCLP) maximizes the population that has a facility within a maximum travel distance or time. Numerous extensions have been proposed to enhan...
Francisco de Assis Corrêa, Antonio Augusto C...
115
Voted
MTA
2010
108views more  MTA 2010»
15 years 1 months ago
A reduced-reference structural similarity approximation for videos corrupted by channel errors
Abstract In this paper we propose a reduced-reference quality assessment algorithm which computes an approximation of the Structural SIMilarity (SSIM) metrics exploiting coding too...
Marco Tagliasacchi, Giuseppe Valenzise, Matteo Nac...
140
Voted
IPPS
2010
IEEE
15 years 20 days ago
A general algorithm for detecting faults under the comparison diagnosis model
We develop a widely applicable algorithm to solve the fault diagnosis problem in certain distributed-memory multiprocessor systems in which there are a limited number of faulty pr...
Iain A. Stewart