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NIPS
2000
13 years 10 months ago
Learning and Tracking Cyclic Human Motion
We present methods for learning and tracking human motion in video. We estimate a statistical model of typical activities from a large set of 3D periodic human motion data by segm...
Dirk Ormoneit, Hedvig Sidenbladh, Michael J. Black...
NECO
2008
170views more  NECO 2008»
13 years 9 months ago
Representational Power of Restricted Boltzmann Machines and Deep Belief Networks
Deep Belief Networks (DBN) are generative neural network models with many layers of hidden explanatory factors, recently introduced by Hinton et al., along with a greedy layer-wis...
Nicolas Le Roux, Yoshua Bengio
PE
2006
Springer
107views Optimization» more  PE 2006»
13 years 9 months ago
Efficient steady-state analysis of second-order fluid stochastic Petri nets
This paper presents an efficient solution technique for the steady-state analysis of the second-order Stochastic Fluid Model underlying a second-order Fluid Stochastic Petri Net (...
Marco Gribaudo, Rossano Gaeta
3DIM
2007
IEEE
14 years 3 months ago
Generalized MPU Implicits Using Belief Propagation
In this paper, we present a new algorithm to reconstruct 3D surfaces from an unorganized point cloud based on generalizing the MPU implicit algorithm through introducing a powerfu...
Yi-Ling Chen, Shang-Hong Lai, Tung-Ying Lee
NLPRS
2001
Springer
14 years 1 months ago
A Bayesian Approach to Semi-Supervised Learning
Recent research in automated learning has focused on algorithms that learn from a combination of tagged and untagged data. Such algorithms can be referred to as semi-supervised in...
Rebecca F. Bruce