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» Towards Automatic Model Generation by Optimization
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FGR
2008
IEEE
346views Biometrics» more  FGR 2008»
14 years 5 months ago
Markov random field models for hair and face segmentation
This paper presents an algorithm for measuring hair and face appearance in 2D images. Our approach starts by using learned mixture models of color and location information to sugg...
Kuang-chih Lee, Dragomir Anguelov, Baris Sumengen,...
HPCC
2007
Springer
14 years 2 months ago
Checkpointing Aided Parallel Execution Model and Analysis
Abstract. Checkpointing techniques are usually used to secure the execution of sequential and parallel programs. However, they can also be used in order to generate automatically a...
Laura Mereuta, Éric Renault
AAAI
2000
14 years 10 days ago
Applying Learnable Evolution Model to Heat Exchanger Design
A new approach to evolutionary computation, called Learnable Evolution Model (LEM), has been applied to the problem of optimizing tube structures of heat exchangers. In contrast t...
Kenneth A. Kaufman, Ryszard S. Michalski
DAC
1996
ACM
14 years 3 months ago
Use of Sensitivities and Generalized Substrate Models in Mixed-Signal IC Design
A novel methodology for circuit design and automatic layout generation is proposed for a class of mixed-signal circuits in presence of layout parasitics and substrate induced nois...
Paolo Miliozzi, Iasson Vassiliou, Edoardo Charbon,...
CVPR
2008
IEEE
15 years 29 days ago
Learning for stereo vision using the structured support vector machine
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
Yunpeng Li, Daniel P. Huttenlocher