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» Synthesis for Probabilistic Environments
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TOG
2012
232views Communications» more  TOG 2012»
13 years 6 months ago
Discovery of complex behaviors through contact-invariant optimization
We present a motion synthesis framework capable of producing a wide variety of important human behaviors that have rarely been studied, including getting up from the ground, crawl...
Igor Mordatch, Emanuel Todorov, Zoran Popovic
AVSS
2006
IEEE
15 years 10 months ago
Multimedia Surveillance and Monitoring
Most surveillance and monitoring systems nowadays utilize multiple types of sensors. However, due to the asynchrony among and diversity of sensors, information assimilation how to...
Mohan S. Kankanhalli
AAAI
2010
15 years 3 months ago
A Trust Model for Supply Chain Management
hey generalize these factors to the abstract concepts of ability, integrity, and benevolence. This model does not use probabilistic decision theory. Other SCM trust factors have be...
Yasaman Haghpanah, Marie desJardins
CORR
2011
Springer
145views Education» more  CORR 2011»
14 years 8 months ago
Collective Animal Behavior from Bayesian Estimation and Probability Matching
Animals living in groups make movement decisions that depend, among other factors, on social interactions with other group members. Our present understanding of social rules in an...
Alfonso Pérez-Escudero, Gonzalo G. de Polav...
ICCV
2003
IEEE
16 years 6 months ago
A Multi-scale Generative Model for Animate Shapes and Parts
This paper presents a multi-scale generative model for representing animate shapes and extracting meaningful parts of objects. The model assumes that animate shapes (2D simple clo...
Aleksandr Dubinskiy, Song Chun Zhu