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IJRR
2011
174views more  IJRR 2011»
14 years 4 months ago
Bounding on rough terrain with the LittleDog robot
— In this paper we develop an RRT-based motion planner that achieved bounding in simulation with the LittleDog robot over extremely rough terrain. LittleDog is a quadruped robot ...
Alexander C. Shkolnik, Michael Levashov, Ian R. Ma...
TVCG
2011
182views more  TVCG 2011»
14 years 4 months ago
Directing Crowd Simulations Using Navigation Fields
—We present a novel approach to direct and control virtual crowds using navigation fields. Our method guides one or more agents towards desired goals based on guidance fields. ...
Sachin Patil, Jur P. van den Berg, Sean Curtis, Mi...
JCST
2010
109views more  JCST 2010»
14 years 4 months ago
The Inverse Classification Problem
In this paper, we examine an emerging variation of the classification problem, which is known as the inverse classification problem. In this problem, we determine the features to b...
Charu C. Aggarwal, Chen Chen, Jiawei Han
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JMLR
2010
106views more  JMLR 2010»
14 years 4 months ago
Why Does Unsupervised Pre-training Help Deep Learning?
Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of auto-encoder variants, with impressive results obtai...
Dumitru Erhan, Yoshua Bengio, Aaron C. Courville, ...
SPIC
2010
14 years 4 months ago
Successive refinement based Wyner-Ziv video compression
Wyner-Ziv coding enables low complexity video encoding with the motion estimation procedure shifted to the decoder. However, the accuracy of decoder motion estimation is often low...
Xiaopeng Fan, Oscar C. Au, Ngai-Man Cheung, Yan Ch...