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» Imitation Learning Using Graphical Models
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CVPR
2004
IEEE
14 years 11 months ago
A Graphical Model Framework for Coupling MRFs and Deformable Models
This paper proposes a new framework for image segmentation based on the integration of MRFs and deformable models using graphical models. We first construct a graphical model to r...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
TCSV
2008
175views more  TCSV 2008»
13 years 9 months ago
Expandable Data-Driven Graphical Modeling of Human Actions Based on Salient Postures
This paper presents a graphical model for learning and recognizing human actions. Specifically, we propose to encode actions in a weighted directed graph, referred to as action gra...
Wanqing Li, Zhengyou Zhang, Zicheng Liu
ICML
2009
IEEE
14 years 10 months ago
Sparse Gaussian graphical models with unknown block structure
Recent work has shown that one can learn the structure of Gaussian Graphical Models by imposing an L1 penalty on the precision matrix, and then using efficient convex optimization...
Benjamin M. Marlin, Kevin P. Murphy
APGV
2007
ACM
104views Visualization» more  APGV 2007»
14 years 1 months ago
On the empirical limits of billboard rotation
This paper describes an experiment investigating for the first time, the perceptual tolerance of inconsistent projections when rotated billboards are transformed and included in a...
Elodie Fourquet, William Cowan, Stephen Mann
SIGGRAPH
2010
ACM
14 years 4 days ago
A synthetic-vision based steering approach for crowd simulation
In the everyday exercise of controlling their locomotion, humans rely on their optic flow of the perceived environment to achieve collision-free navigation. In crowds, in spite o...
Jan Ondrej, Julien Pettré, Anne-Hélène Olivier,...