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CVPR
2007
IEEE
16 years 5 months ago
Utilizing Variational Optimization to Learn Markov Random Fields
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
Marshall F. Tappen
187
Voted
IVIC
2009
Springer
15 years 10 months ago
Secure Minutiae-Based Fingerprint Templates Using Random Triangle Hashing
Abstract. Due to privacy concern on the widespread use of biometric authentication systems, biometric template protection has gained great attention in the biometric research recen...
Zhe Jin, Andrew Beng Jin Teoh, Thian Song Ong, Con...
SECON
2007
IEEE
15 years 10 months ago
Two-hop Relaying in Random Networks with Limited Channel State Information
— In this paper we study two-hop cooperative diversity relaying in random wireless networks. In contrast to most work on cooperative diversity relaying where the relay node posit...
Furuzan Atay Onat, Dan Avidor, Sayandev Mukherjee
128
Voted
SSIAI
2000
IEEE
15 years 8 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
121
Voted
CORR
2006
Springer
123views Education» more  CORR 2006»
15 years 3 months ago
Counting good truth assignments of random k-SAT formulae
We present a deterministic approximation algorithm to compute logarithm of the number of `good' truth assignments for a random k-satisfiability (k-SAT) formula in polynomial ...
Andrea Montanari, Devavrat Shah