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ICCV
2001
IEEE
16 years 6 months ago
Face Recognition with Support Vector Machines: Global versus Component-based Approach
We present a component-based method and two global methods for face recognition and evaluate them with respect to robustness against pose changes. In the component system we first...
Bernd Heisele, Purdy Ho, Tomaso Poggio
TMI
2002
143views more  TMI 2002»
15 years 3 months ago
A Support Vector Machine Approach for Detection of Microcalcifications
In this paper, we investigate an approach based on support vector machines (SVMs) for detection of microcalcification (MC) clusters in digital mammograms, and propose a successive ...
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Niko...
ICML
2003
IEEE
16 years 4 months ago
Low Bias Bagged Support Vector Machines
Theoretical and experimental analyses of bagging indicate that it is primarily a variance reduction technique. This suggests that bagging should be applied to learning algorithms ...
Giorgio Valentini, Thomas G. Dietterich
CRV
2006
IEEE
242views Robotics» more  CRV 2006»
15 years 10 months ago
User Authentication based on Face Recognition with Support Vector Machines
The present paper proposes an authentication scheme which relies on face biometrics and one-class Support Vector Machines. The proposed recognition procedures are based on both a ...
Paolo Abeni, Madalina Baltatu, Rosalia D'Alessandr...
JCP
2008
114views more  JCP 2008»
15 years 4 months ago
IntelligenTester - Test Sequence Optimization Framework using Multi-Agents
- Our paper focuses on the generation of optimal test sequences and test cases using Intelligent Agents for highly reliable systems. Test sequences support test case generation for...
D. Jeya Mala, V. Mohan