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» A Support Vector Clustering Method
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ICPR
2008
IEEE
15 years 10 months ago
Effective shrinkage of large multi-class linear svm models for text categorization
When linear support vector machines (SVMs) are applied to multi-class text categorization in industry, the size of the linear SVM model is very large, usually greater than several...
Jian-xiong Dong, Ching Y. Suen, Adam Krzyzak
NECO
2000
190views more  NECO 2000»
15 years 3 months ago
Generalized Discriminant Analysis Using a Kernel Approach
We present a new method that we call Generalized Discriminant Analysis (GDA) to deal with nonlinear discriminant analysis using kernel function operator. The underlying theory is ...
G. Baudat, Fatiha Anouar
ICPPW
2005
IEEE
15 years 9 months ago
Load Balancing Hybrid Programming Models for SMP Clusters and Fully Permutable Loops
This paper emphasizes on load balancing issues associated with hybrid programming models for the parallelization of fully permutable nested loops onto SMP clusters. Hybrid paralle...
Nikolaos Drosinos, Nectarios Koziris
ASWEC
2000
IEEE
15 years 8 months ago
ReVis: Reverse Engineering by Clustering and Visual Object Classification
This paper presents the framework of a scale-oriented scheme for the presentation and classification of reverse engineered sections of procedural code into objects. The aim is to ...
Aaron J. Quigley, Margot Postema, Heinz W. Schmidt
CCGRID
2001
IEEE
15 years 7 months ago
Software Environments For Cluster-Based Display Systems
An inexpensive way to construct a scalable display wall system is to use a cluster of PCs with commodity graphics accelerators to drive an array of projectors. A challenge is to b...
Han Chen, Douglas W. Clark, Zhiyan Liu, Grant Wall...