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» Minimal Kernel Classifiers
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ADAC
2010
110views more  ADAC 2010»
14 years 7 months ago
Robust classification for skewed data
In this paper we propose a robust classification rule for skewed unimodal distributions. For low dimensional data, the classifier is based on minimizing the adjusted outlyingness t...
Mia Hubert, Stephan Van der Veeken
SCALESPACE
2005
Springer
15 years 3 months ago
Relations Between Higher Order TV Regularization and Support Vector Regression
We study the connection between higher order total variation (TV) regularization and support vector regression (SVR) with spline kernels in a one-dimensional discrete setting. We p...
Gabriele Steidl, Stephan Didas, Julia Neumann
ISSS
1996
IEEE
123views Hardware» more  ISSS 1996»
15 years 2 months ago
Memory Organization for Improved Data Cache Performance in Embedded Processors
Code generation for embedded processors creates opportunities for several performance optimizations not applicable for traditional compilers. We present techniques for improving d...
Preeti Ranjan Panda, Nikil D. Dutt, Alexandru Nico...
TMI
2008
144views more  TMI 2008»
14 years 9 months ago
Automatic Detection of Regional Heart Rejection in USPIO-Enhanced MRI
Contrast-enhanced magnetic resonance imaging (MRI) is useful to study the infiltration of cells in vivo. This research adopts ultrasmall superparamagnetic iron oxide (USPIO) parti...
Hsun-Hsien Chang, José M. F. Moura, Yijen L...
ICIP
2005
IEEE
15 years 11 months ago
Local manifold matching for face recognition
In this paper, we propose a novel classification method, called local manifold matching (LMM), for face recognition. LMM has great representational capacity of available prototypes...
Wei Liu, Wei Fan, Yunhong Wang, Tieniu Tan