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» Remarks on Testing Probabilistic Processes
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AIPS
2003
13 years 8 months ago
A Framework for Planning in Continuous-time Stochastic Domains
We propose a framework for policy generation in continuoustime stochastic domains with concurrent actions and events of uncertain duration. We make no assumptions regarding the co...
Håkan L. S. Younes, David J. Musliner, Reid ...
CVIU
2008
188views more  CVIU 2008»
13 years 7 months ago
Learning function-based object classification from 3D imagery
We propose a novel scheme for using supervised learning for function-based classification of objects in 3D images. During the learning process, a generic multi-level hierarchical ...
Michael Pechuk, Octavian Soldea, Ehud Rivlin
PAMI
2007
166views more  PAMI 2007»
13 years 6 months ago
A Bayesian, Exemplar-Based Approach to Hierarchical Shape Matching
—This paper presents a novel probabilistic approach to hierarchical, exemplar-based shape matching. No feature correspondence is needed among exemplars, just a suitable pairwise ...
Dariu Gavrila
ICASSP
2008
IEEE
14 years 1 months ago
Transmit codes and receive filters for pulse compression radar systems
Pulse compression radar systems make use of transmit code sequences and receive filters that are specially designed to achieve good range resolution and target detection capabili...
Petre Stoica, Jian Li, Ming Xue
ACMACE
2006
ACM
14 years 1 months ago
Sketching-out virtual humans: from 2D storyboarding to immediate 3D character animation
Virtual beings are playing a remarkable role in today’s public entertainment, while ordinary users are still treated as audiences due to the lack of appropriate expertise, equip...
Chen Mao, Sheng Feng Qin, David K. Wright