2082 search results - page 245 / 417 » Using model knowledge for learning inverse dynamics |
119
Voted
GRAPHITE
2007
ACM
15 years 6 months ago
2007
ACM
We present a data-driven technique for generating the precomputed radiance transfer vectors of an animated character as a function of its joint angles. We learn a linear model for...
117
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CHI
2009
ACM
16 years 3 months ago
2009
ACM
We discuss the problem of assessing and aiding user performance in dynamic tasks that require rapid selection among multiple information sources. Motivated by research in human se...
132
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SASO
2008
IEEE
15 years 9 months ago
2008
IEEE
Truly ubiquitous computing poses new and significant challenges. A huge number of heterogeneous devices will interact to perform complex distributed tasks. One of the key aspects...
104
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ICDM
2005
IEEE
15 years 8 months ago
2005
IEEE
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
142
Voted
ECCV
2010
Springer
15 years 5 months ago
2010
Springer
Advanced surveillance systems for behavior recognition in outdoor traffic scenes depend strongly on the particular configuration of the scenario. Scene-independent trajectory analy...