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ICCV
2011
IEEE
12 years 9 months ago
Perturb-and-MAP Random Fields: Using Discrete Optimization\\to Learn and Sample from Energy Models
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
George Papandreou, Alan L. Yuille
ICVS
2001
Springer
14 years 1 months ago
Compiling SA-C Programs to FPGAs: Performance Results
Abstract. At the first ICVS, we presented SA-C (“sassy”), a singleassignment variant of the C programming language designed to exploit both coarse-grain and fine-grain parallel...
Bruce A. Draper, A. P. Wim Böhm, Jeffrey Hamm...
ICCV
2009
IEEE
15 years 16 days ago
The Swap and Expansion Moves Revisited and Fused
Many solutions to computer vision and image processing problems involve the minimization of multi-label energy functions with up to K variables in each term. In the minimization pr...
Ido Leichter
MM
2006
ACM
168views Multimedia» more  MM 2006»
14 years 3 months ago
Scalability of local image descriptors: a comparative study
Computer vision researchers have recently proposed several local descriptor schemes. Due to lack of database support, however, these descriptors have only been evaluated using sma...
Herwig Lejsek, Friðrik Heiðar Ásmun...
ICPR
2010
IEEE
14 years 4 months ago
Statistical Shape Modeling using Morphological Representations
The aim of this paper is to propose tools for statistical analysis of shape families using morphological operators. Given a series of shape families (or shape categories), the appr...
S. Velasco-Forero and J. Angulo