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» Optimizing for parallelism and data locality
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IDA
1999
Springer
15 years 10 months ago
Nonparametric Linear Discriminant Analysis by Recursive Optimization with Random Initialization
A method for the linear discrimination of two classes has been proposed by us in 3 . It searches for the discriminant direction which maximizes the distance between the projected c...
Mayer Aladjem
IEEESCC
2007
IEEE
16 years 11 days ago
Swift: Fast, Reliable, Loosely Coupled Parallel Computation
A common pattern in scientific computing involves the execution of many tasks that are coupled only in the sense that the output of one may be passed as input to one or more other...
Yong Zhao, Mihael Hategan, Ben Clifford, Ian T. Fo...
TMI
2002
155views more  TMI 2002»
15 years 5 months ago
Active Shape Model Segmentation with Optimal Features
Abstract--An active shape model segmentation scheme is presented that is steered by optimal local features, contrary to normalized first order derivative profiles, as in the origin...
Bram van Ginneken, Alejandro F. Frangi, Joes Staal...
IDA
2011
Springer
15 years 16 days ago
PSO driven collaborative clustering: A clustering algorithm for ubiquitous environments
Abstract. The goal of this article is to introduce a collaborative clustering approach to the domain of ubiquitous knowledge discovery. This clustering approach is suitable in peer...
Benoît Depaire, Rafael Falcón, Koen V...
LCPC
1999
Springer
15 years 10 months ago
Language Support for Pipelining Wavefront Computations
Wavefront computations, characterized by a data dependent flow of computation across a data space, are receiving increasing attention as an important class of parallel computation...
Bradford L. Chamberlain, E. Christopher Lewis, Law...