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» Minimal Kernel Classifiers
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JMLR
2006
150views more  JMLR 2006»
15 years 3 months ago
Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization
Support vector machines utilizing the 1-norm, typically set up as linear programs (Mangasarian, 2000; Bradley and Mangasarian, 1998), are formulated here as a completely unconstra...
Olvi L. Mangasarian
IPPS
2009
IEEE
15 years 9 months ago
Minimizing startup costs for performance-critical threading
—Using the well-known ATLAS and LAPACK dense linear algebra libraries, we demonstrate that the parallel management overhead (PMO) can grow with problem size on even statically sc...
Anthony M. Castaldo, R. Clint Whaley
CSE
2009
IEEE
15 years 10 months ago
Fast Fusion of Medical Images Based on Bayesian Risk Minimization and Pixon Map
Fast fusion of multiple registered out-of-focus images is of great interest in medical imaging; for example, the thoracic cavity is always too bumpy to be focused on all parts at ...
Hongbo Zhou, Qiang Cheng, Mehdi Zargham
TIP
2008
144views more  TIP 2008»
15 years 3 months ago
Minimization of Region-Scalable Fitting Energy for Image Segmentation
Intensity inhomogeneities often occur in real-world images and may cause considerable difficulties in image segmentation. In order to overcome the difficulties caused by intensity ...
Chunming Li, Chiu-Yen Kao, John C. Gore, Zhaohua D...
SIGMETRICS
2000
ACM
15 years 2 months ago
Minimizing the impact of orphan requests in e-commerce services
The most common problem of an overloaded electronic-commerce server is an increase in the response time perceived by customers, who may restart their requests hoping to get a fast...
E. Kraemer, Goedson T. Paixão, Dorgival Ola...