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» Graphical inference for infovis
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190
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ICPR
2002
IEEE
16 years 7 months ago
Boosting and Structure Learning in Dynamic Bayesian Networks for Audio-Visual Speaker Detection
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
Tanzeem Choudhury, James M. Rehg, Vladimir Pavlovi...
ICCV
2009
IEEE
15 years 3 months ago
Realtime background subtraction from dynamic scenes
This paper examines the problem of moving object detection. More precisely, it addresses the difficult scenarios where background scene textures in the video might change over tim...
Li Cheng, Minglun Gong
206
Voted
CGA
2011
14 years 9 months ago
Practical Character Physics for Animators
—We describe a graphics system that significantly improves the visual quality of certain types of 3D character motion animated through traditional means by inferring physical pr...
Ari Shapiro, Sung-Hee Lee
126
Voted
ICIP
2005
IEEE
16 years 7 months ago
Non-parametric image super-resolution using multiple images
In this paper, we present a novel learning based framework for performing super-resolution using multiple images. We model the image as an undirected graphical model over image pa...
Mithun Das Gupta, ShyamSundar Rajaram, Nemanja Pet...
ICPR
2006
IEEE
16 years 7 months ago
Multi-modal Sequential Monte Carlo for On-Line Hierarchical Graph Structure Estimation in Model-based Scene Interpretation
We present a computationally efficient, on-line graph structure estimation method for model-based scene interpretation. Different scenes have different hierarchical graphical mode...
In-So Kweon, Sungho Kim