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» Sequential Learning of Layered Models from Video
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ICMLC
2005
Springer
15 years 5 months ago
Automatic 3D Motion Synthesis with Time-Striding Hidden Markov Model
In this paper we present a new method, time-striding hidden Markov model (TSHMM), to learn from long-term motion for atomic behaviors and the statistical dependencies among them. T...
Yi Wang, Zhi-Qiang Liu, Li-Zhu Zhou
CVPR
2003
IEEE
16 years 1 months ago
Video-Based Face Recognition Using Adaptive Hidden Markov Models
While traditional face recognition is typically based on still images, face recognition from video sequences has become popular recently. In this paper, we propose to use adaptive...
Xiaoming Liu 0002, Tsuhan Chen
GLVLSI
2009
IEEE
122views VLSI» more  GLVLSI 2009»
15 years 6 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
KDD
2002
ACM
171views Data Mining» more  KDD 2002»
16 years 5 days ago
Mining complex models from arbitrarily large databases in constant time
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
Geoff Hulten, Pedro Domingos
ECCV
1996
Springer
16 years 1 months ago
Learning Dynamics of Complex Motions from Image Sequences
In Proc. European Conf. Computer Vision, 1996, pp. 357{368, Cambridge, UK The performance of Active Contours in tracking is highly dependent on the availability of an appropriate ...
David Reynard, Andrew Wildenberg, Andrew Blake, Jo...