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ICCV
2001
IEEE
15 years 11 months ago
Learning Image Statistics for Bayesian Tracking
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
Hedvig Sidenbladh, Michael J. Black
SSIAI
2000
IEEE
15 years 2 months ago
Pairwise Markov Random Fields and its Application in Textured Images Segmentation
The use of random fields, which allows one to take into account the spatial interaction among random variables in complex systems, is a frequent tool in numerous problems of stati...
Wojciech Pieczynski, Abdel-Nasser Tebbache
AAAI
2012
13 years 8 days ago
An Object-Based Bayesian Framework for Top-Down Visual Attention
We introduce a new task-independent framework to model top-down overt visual attention based on graphical models for probabilistic inference and reasoning. We describe a Dynamic B...
Ali Borji, Dicky N. Sihite, Laurent Itti
GIS
1992
ACM
15 years 2 months ago
Machine Induction of Geospatial Knowledge
Machine learning techniques such as tree induction have become accepted tools for developing generalisations of large data sets, typically for use with production rule systems in p...
Peter A. Whigham, Robert I. McKay, J. R. Davis
ISQED
2003
IEEE
102views Hardware» more  ISQED 2003»
15 years 3 months ago
Modeling Crosstalk Induced Delay
The amplitude of coupled noise is often used in estimating the crosstalk effect. Coupling noise-induced delay measures the impact of crosstalk on circuit performance. Efficient c...
Chung-Kuan Tsai, Malgorzata Marek-Sadowska