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TSP
2010
15 years 1 months ago
Learning Gaussian tree models: analysis of error exponents and extremal structures
The problem of learning tree-structured Gaussian graphical models from independent and identically distributed (i.i.d.) samples is considered. The influence of the tree structure a...
Vincent Y. F. Tan, Animashree Anandkumar, Alan S. ...
ICCV
2003
IEEE
16 years 8 months ago
Automatic Video Summarization by Graph Modeling
We propose a unified approach for summarization based on the analysis of video structures and video highlights. Our approach emphasizes both the content balance and perceptual qua...
Chong-Wah Ngo, Yu-Fei Ma, HongJiang Zhang
ICIP
2002
IEEE
16 years 8 months ago
A Bayesian approach to inferring vascular tree structure from 2D imagery
We describe a method for inferring tree-like vascular structures from 2D imagery. A Markov Chain Monte Carlo (MCMC) algorithm is employed to produce approximate samples from the p...
Abhir Bhalerao, Elke Thönnes, Roland Wilson, ...
ICIP
1999
IEEE
16 years 8 months ago
Statistical Multiplexing and Quality of Service Control of VBR Mpeg Video Sources
In this paper efficient modeling of VBR MPEG coded video sources is proposed by appropriately combining properties of frame and GOP layer signals. In particular, a Markov chain is...
Anastasios D. Doulamis, Nikolaos D. Doulamis, Stef...
ICIP
1999
IEEE
16 years 8 months ago
Uncertainties in Bayesian Geometric Models
Deformable geometric models fit very naturally into the context of Bayesian analysis. The prior probability of boundary shapes is taken to proportional to the negative exponential...
Kenneth M. Hanson, Gregory S. Cunningham, Robert J...