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» Using model knowledge for learning inverse dynamics
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143
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ICCV
2007
IEEE
15 years 10 months ago
Action Recognition from Arbitrary Views using 3D Exemplars
In this paper, we address the problem of learning compact, view-independent, realistic 3D models of human actions recorded with multiple cameras, for the purpose of recognizing th...
Daniel Weinland, Edmond Boyer, Rémi Ronfard
162
Voted
ICMCS
2008
IEEE
207views Multimedia» more  ICMCS 2008»
15 years 10 months ago
Structure learning in a Bayesian network-based video indexing framework
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...
Siwar Baghdadi, Guillaume Gravier, Claire-Hé...
143
Voted
ESANN
2006
15 years 5 months ago
Dynamical reservoir properties as network effects
It has been proposed that chaos can serve as a reservoir providing an infinite number of dynamical states [1, 2, 3, 4, 5]. These can be interpreted as different behaviors, search a...
Carlos Lourenço
154
Voted
DATE
2009
IEEE
90views Hardware» more  DATE 2009»
15 years 10 months ago
Property analysis and design understanding
—Verification is a major issue in circuit and system design. Formal methods like bounded model checking (BMC) can guarantee a high quality of the verification. There are severa...
Ulrich Kühne, Daniel Große, Rolf Drechs...
AAAI
2012
13 years 6 months ago
A Testbed for Learning by Demonstration from Natural Language and RGB-Depth Video
We are developing a testbed for learning by demonstration combining spoken language and sensor data in a natural real-world environment. Microsoft Kinect RGBDepth cameras allow us...
Young Chol Song, Henry A. Kautz