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IJCV
2008
151views more  IJCV 2008»
15 years 3 months ago
Describing Visual Scenes Using Transformed Objects and Parts
We develop hierarchical, probabilistic models for objects, the parts composing them, and the visual scenes surrounding them. Our approach couples topic models originally developed...
Erik B. Sudderth, Antonio Torralba, William T. Fre...
173
Voted
VISAPP
2010
15 years 1 months ago
Inverse Problems in Imaging and Computer Vision - From Regularization Theory to Bayesian Inference
phies are also mentioned and a common mathematical abstraction for all these inverses problems will be presented. By focusing on a simple linear forward model, first a synthetic an...
Ali Mohammad-Djafari
ECCV
2002
Springer
16 years 5 months ago
Parsing Images into Region and Curve Processes
Abstract. Natural scenes consist of a wide variety of stochastic patterns. While many patterns are represented well by statistical models in two dimensional regions as most image s...
Zhuowen Tu, Song Chun Zhu
125
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ISLPED
2006
ACM
83views Hardware» more  ISLPED 2006»
15 years 9 months ago
Considering process variations during system-level power analysis
Process variations will increasingly impact the operational characteristics of integrated circuits in nanoscale semiconductor technologies. Researchers have proposed various desig...
Saumya Chandra, Kanishka Lahiri, Anand Raghunathan...
123
Voted
STOC
1997
ACM
125views Algorithms» more  STOC 1997»
15 years 7 months ago
An Interruptible Algorithm for Perfect Sampling via Markov Chains
For a large class of examples arising in statistical physics known as attractive spin systems (e.g., the Ising model), one seeks to sample from a probability distribution π on an...
James Allen Fill