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» A Symbolic Out-of-Core Solution Method for Markov Models
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CVPR
1999
IEEE
13 years 12 months ago
A New Bayesian Framework for Object Recognition
We introduce an approach to feature-based object recognition, using maximum a posteriori (MAP) estimation under a Markov random field (MRF) model. This approach provides an effici...
Yuri Boykov, Daniel P. Huttenlocher
CVPR
2012
IEEE
11 years 10 months ago
A tiered move-making algorithm for general pairwise MRFs
A large number of problems in computer vision can be modeled as energy minimization problems in a markov random field (MRF) framework. Many methods have been developed over the y...
Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr
EMMCVPR
2005
Springer
14 years 1 months ago
Linear Programming Matching and Appearance-Adaptive Object Tracking
Abstract. In this paper, we present a novel successive relaxation linear programming scheme for solving the important class of consistent labeling problems for which an L1 metric i...
Hao Jiang, Mark S. Drew, Ze-Nian Li
ICCAD
1999
IEEE
86views Hardware» more  ICCAD 1999»
13 years 12 months ago
A framework for testing core-based systems-on-a-chip
Available techniques for testing core-based systems-on-a-chip (SOCs) do not provide a systematic means for synthesising low-overhead test architectures and compact test solutions....
Srivaths Ravi, Ganesh Lakshminarayana, Niraj K. Jh...
JCDL
2006
ACM
151views Education» more  JCDL 2006»
14 years 1 months ago
Tagging of name records for genealogical data browsing
In this paper we present a method of parsing unstructured textual records briefly describing a person and their direct relatives, which we use in the construction of a browsing t...
Mike Perrow, David Barber