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FGR
2004
IEEE
131views Biometrics» more  FGR 2004»
13 years 11 months ago
Active Morphable Model: An Efficient Method for Face Analysis
Multidimensional Morphable Model is a powerful model to analyze and synthesize human faces. However, the stochastic gradient descent algorithm adopted to match the Morphable Model...
Xun Xu, Changshui Zhang, Thomas S. Huang
ICPR
2008
IEEE
14 years 2 months ago
Lennard-Jones force field for Geometric Active Contour
This paper presents a new Geometric Active Contour (GAC) model based on Lennard-Jones (L-J) force field, which is inspired by the theory of intermolecular interaction. It is diff...
Zhenglong Li, Qingshan Liu, Hanqing Lu, Dimitris N...
AAAI
2000
13 years 9 months ago
Localizing Search in Reinforcement Learning
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
Gregory Z. Grudic, Lyle H. Ungar
ML
2002
ACM
121views Machine Learning» more  ML 2002»
13 years 7 months ago
Choosing Multiple Parameters for Support Vector Machines
The problem of automatically tuning multiple parameters for pattern recognition Support Vector Machines (SVMs) is considered. This is done by minimizing some estimates of the gener...
Olivier Chapelle, Vladimir Vapnik, Olivier Bousque...
FGR
2004
IEEE
118views Biometrics» more  FGR 2004»
13 years 11 months ago
Components for Face Recognition
We present a method for automatically learning a set of discriminatory facial components for face recognition. The algorithm performs an iterative growing of components starting w...
Bernd Heisele, Takamasa Koshizen