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» Learning and Inference with Constraints
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132
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GLVLSI
2009
IEEE
122views VLSI» more  GLVLSI 2009»
15 years 10 months ago
Enhancing SAT-based sequential depth computation by pruning search space
The sequential depth determines the completeness of bounded model checking in design verification. Recently, a SATbased method is proposed to compute the sequential depth of a de...
Yung-Chih Chen, Chun-Yao Wang
156
Voted
SCIA
2009
Springer
161views Image Analysis» more  SCIA 2009»
15 years 10 months ago
A Fast Optimization Method for Level Set Segmentation
Abstract. Level set methods are a popular way to solve the image segmentation problem in computer image analysis. A contour is implicitly represented by the zero level of a signed ...
Thord Andersson, Gunnar Läthén, Reiner...
135
Voted
CRV
2008
IEEE
295views Robotics» more  CRV 2008»
15 years 9 months ago
3D Human Motion Tracking Using Dynamic Probabilistic Latent Semantic Analysis
We propose a generative statistical approach to human motion modeling and tracking that utilizes probabilistic latent semantic (PLSA) models to describe the mapping of image featu...
Kooksang Moon, Vladimir Pavlovic
123
Voted
DATE
2008
IEEE
122views Hardware» more  DATE 2008»
15 years 9 months ago
Simulation-Directed Invariant Mining for Software Verification
With the advance of SAT solvers, transforming a software program to a propositional formula has generated much interest for bounded model checking of software in recent years. How...
Xueqi Cheng, Michael S. Hsiao
101
Voted
ICASSP
2008
IEEE
15 years 9 months ago
Nested support vector machines
The one-class and cost-sensitive support vector machines (SVMs) are state-of-the-art machine learning methods for estimating density level sets and solving weighted classificatio...
Gyemin Lee, Clayton Scott