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» An Efficient Implementation of an Active Set Method for SVMs
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JIPS
2007
134views more  JIPS 2007»
13 years 7 months ago
An Efficient Functional Analysis Method for Micro-array Data Using Gene Ontology
: Microarray data includes tens of thousands of gene expressions simultaneously, so it can be effectively used in identifying the phenotypes of diseases. However, the retrieval of ...
Dong-wan Hong, Jong-keun Lee, Sung-soo Park, Sang-...

Presentation
439views
12 years 1 months ago
Efficient Evaluation Methods of Elementary Functions Suitable for SIMD Computation
Data-parallel architectures like SIMD (Single Instruction Multiple Data) or SIMT (Single Instruction Multiple Thread) have been adopted in many recent CPU and GPU architectures. Al...
CORR
2008
Springer
142views Education» more  CORR 2008»
13 years 7 months ago
A Gaussian Belief Propagation Solver for Large Scale Support Vector Machines
Support vector machines (SVMs) are an extremely successful type of classification and regression algorithms. Building an SVM entails solving a constrained convex quadratic program...
Danny Bickson, Elad Yom-Tov, Danny Dolev
MVA
2007
175views Computer Vision» more  MVA 2007»
13 years 9 months ago
Noisy Image Segmentation Based on a Level Set Evolution
In this paper, we propose a new hybrid model for active contour image segmentation, which is able to segment non-uniform noisy images efficiently. The model is a combination betwe...
Khaled Issa, Hiroshi Nagahashi
PAMI
2006
226views more  PAMI 2006»
13 years 7 months ago
Graph Partitioning Active Contours (GPAC) for Image Segmentation
In this paper we introduce new type of variational segmentation cost functions and associated active contour methods that are based on pairwise similarities or dissimilarities of t...
Baris Sumengen, B. S. Manjunath