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CAIP
2001
Springer
293views Image Analysis» more  CAIP 2001»
15 years 4 months ago
A Markov Random Field Image Segmentation Model Using Combined Color and Texture Features
In this paper, we propose a Markov random field (MRF) image segmentation model which aims at combining color and texture features. The theoretical framework relies on Bayesian est...
Zoltan Kato, Ting-Chuen Pong
SSIAI
2000
IEEE
15 years 4 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
ISCAS
2008
IEEE
145views Hardware» more  ISCAS 2008»
15 years 6 months ago
Group learning using contrast NMF : Application to functional and structural MRI of schizophrenia
— Non-negative Matrix factorization (NMF) has increasingly been used as a tool in signal processing in the last couple of years. NMF, like independent component analysis (ICA) is...
Vamsi K. Potluru, Vince D. Calhoun
CRYPTO
2006
Springer
92views Cryptology» more  CRYPTO 2006»
15 years 3 months ago
Rigorous Bounds on Cryptanalytic Time/Memory Tradeoffs
In this paper we formalize a general model of cryptanalytic time/memory tradeoffs for the inversion of a random function f : {0, 1, . . . , N - 1} {0, 1, . . . , N - 1}. The model...
Elad Barkan, Eli Biham, Adi Shamir
BMCBI
2006
75views more  BMCBI 2006»
14 years 12 months ago
Improving the specificity of high-throughput ortholog prediction
Background: Orthologs (genes that have diverged after a speciation event) tend to have similar function, and so their prediction has become an important component of comparative g...
Debra L. Fulton, Yvonne Y. Li, Matthew R. Laird, B...