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KAIS
2006
126views more  KAIS 2006»
13 years 9 months ago
Fast and exact out-of-core and distributed k-means clustering
Clustering has been one of the most widely studied topics in data mining and k-means clustering has been one of the popular clustering algorithms. K-means requires several passes ...
Ruoming Jin, Anjan Goswami, Gagan Agrawal
EOR
2007
100views more  EOR 2007»
13 years 9 months ago
Parallel radial basis function methods for the global optimization of expensive functions
We introduce a master–worker framework for parallel global optimization of computationally expensive functions using response surface models. In particular, we parallelize two r...
Rommel G. Regis, Christine A. Shoemaker
NECO
2008
108views more  NECO 2008»
13 years 9 months ago
Optimization of Decision Making in Multilayer Networks: The Role of Locus Coeruleus
Previous theoretical work has shown that a single layer neural network can implement the optimal decision process for simple, two alternative forced choice (2AFC) tasks. However, ...
Eric Shea-Brown, Mark S. Gilzenrat, Jonathan D. Co...
OCLC
2008
86views more  OCLC 2008»
13 years 9 months ago
Those who don't look don't find: disciplinary considerations in repository advocacy
Purpose of this paper By describing some of the often ignored aspects of repository advocacy, such as disciplinary differences and how these might affect the adoption of a particu...
Danny Kingsley
PAMI
2008
198views more  PAMI 2008»
13 years 9 months ago
A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors
Among the most exciting advances in early vision has been the development of efficient energy minimization algorithms for pixel-labeling tasks such as depth or texture computation....
Richard Szeliski, Ramin Zabih, Daniel Scharstein, ...
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