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» Complexity of Inference in Graphical Models
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133
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IVC
2002
142views more  IVC 2002»
15 years 2 months ago
Real-time tracking of complex structures with on-line camera calibration
This paper presents a novel three-dimensional model-based tracking system which has been incorporated into a visual servoing system. The tracking system combines modern graphical ...
Tom Drummond, Roberto Cipolla
DCC
2010
IEEE
15 years 9 months ago
Lossless Compression Based on the Sequence Memoizer
In this work we describe a sequence compression method based on combining a Bayesian nonparametric sequence model with entropy encoding. The model, a hierarchy of Pitman-Yor proce...
Jan Gasthaus, Frank Wood, Yee Whye Teh
CVPR
2000
IEEE
16 years 4 months ago
Impact of Dynamic Model Learning on Classification of Human Motion
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and analysis of figure motion has employed eith...
Vladimir Pavlovic, James M. Rehg
133
Voted
ICCV
1999
IEEE
16 years 4 months ago
A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and synthesizing figure motion has employed eit...
Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, Ke...
BICA
2010
14 years 9 months ago
Application Feedback in Guiding a Deep-Layered Perception Model
Deep-layer machine learning architectures continue to emerge as a promising biologically-inspired framework for achieving scalable perception in artificial agents. State inference ...
Itamar Arel, Shay Berant