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» Interpretable Piecewise Linear Classifier
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120
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TITB
2008
102views more  TITB 2008»
15 years 19 days ago
Nonlinear Support Vector Machine Visualization for Risk Factor Analysis Using Nomograms and Localized Radial Basis Function Kern
Nonlinear classifiers, e.g., support vector machines (SVMs) with radial basis function (RBF) kernels, have been used widely for automatic diagnosis of diseases because of their hig...
Baek Hwan Cho, Hwanjo Yu, Jong Shill Lee, Young Jo...
123
Voted
ICPR
2008
IEEE
16 years 1 months ago
Multiple kernel learning from sets of partially matching image features
Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...
Guo ShengYang, Min Tan, Si-Yao Fu, Zeng-Guang Hou,...
112
Voted
CPAIOR
2006
Springer
15 years 4 months ago
Duality in Optimization and Constraint Satisfaction
We show that various duals that occur in optimization and constraint satisfaction can be classified as inference duals, relaxation duals, or both. We discuss linear programming, su...
John N. Hooker
111
Voted
IVC
2002
141views more  IVC 2002»
15 years 12 days ago
Real-time gesture recognition system and application
In this paper, we consider a vision-based system that can interpret a user's gestures in real time to manipulate windows and objects within a graphical user interface. A hand...
Chan Wah Ng, Surendra Ranganath
102
Voted
IPMI
2009
Springer
16 years 1 months ago
A Unified Framework for MR Based Disease Classification
In this paper, we employ an anatomical parameterization of spatial warps to reveal structural differences between medical images of healthy control subjects and disease patients. T...
Kilian M. Pohl, Mert R. Sabuncu