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17 years 6 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
227
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ICCV
2007
IEEE
16 years 9 months ago
Applications of parametric maxflow in computer vision
The maximum flow algorithm for minimizing energy functions of binary variables has become a standard tool in computer vision. In many cases, unary costs of the energy depend linea...
Vladimir Kolmogorov, Yuri Boykov, Carsten Rother
178
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PERCOM
2003
ACM
16 years 7 months ago
Smart Identification Frameworks for Ubiquitous Computing Applications
Abstract. We present our results of the conceptual design and the implementation of ubiquitous computing applications using smart identification technologies. First, we describe su...
Friedemann Mattern, Kay Römer, Thomas Dü...
205
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CLUSTER
2009
IEEE
16 years 2 months ago
Topics on measuring real power usage on high performance computing platforms
—Power has recently been recognized as one of the major obstacles in fielding a Peta-FLOPs class system. To reach Exa-FLOPs, the challenge will certainly be compounded. In this ...
James H. Laros, Kevin T. Pedretti, Suzanne M. Kell...
204
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FC
2005
Springer
83views Cryptology» more  FC 2005»
16 years 1 months ago
Secure Distributed Human Computation
We suggest a general paradigm of using large-scale distributed computation to solve difficult problems, but where humans can act as agents and provide candidate solutions. We are e...
Craig Gentry, Zulfikar Ramzan, Stuart G. Stubblebi...