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PAMI
2007
123views more  PAMI 2007»
15 years 4 months ago
Unsupervised Statistical Segmentation of Nonstationary Images Using Triplet Markov Fields
—Recent developments in statistical theory and associated computational techniques have opened new avenues for image modeling as well as for image segmentation techniques. Thus, ...
Dalila Benboudjema, Wojciech Pieczynski
CIMCA
2005
IEEE
15 years 11 months ago
Statistical Learning Procedure in Loopy Belief Propagation for Probabilistic Image Processing
We give a fast and practical algorithm for statistical learning hyperparameters from observable data in probabilistic image processing, which is based on Gaussian graphical model ...
Kazuyuki Tanaka
ICIP
1999
IEEE
16 years 7 months ago
A Dedicated Hardware System for a Class of Nonlinear Order Statistics Rational Hybrid Filters with Applications to Image Process
A dedicated hardware system is developed for a recent class of nonlinear hybrid filters called Order StatisticsRational Hybrid Filters (OSRHF). The performance of these filters is...
Lazhar Khriji, Giuseppe Bernacchia, Moncef Gabbouj...
ICDAR
2005
IEEE
15 years 11 months ago
A Statistical Learning Approach To Document Image Analysis
In the field of computer analysis of document images, the problems of physical and logical layout analysis have been approached through a variety of heuristic, rule-based, and gr...
Kevin Laven, Scott Leishman, Sam T. Roweis
BMCV
2000
Springer
15 years 9 months ago
The Role of Natural Image Statistics in Biological Motion Estimation
While a great deal of experimental evidence supports the Reichardt correlator as a mechanism for biological motion detection, the correlator does not signal true image velocity. Th...
Ron O. Dror, David C. O'Carroll, Simon B. Laughlin