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ICIP
2008
IEEE
15 years 4 months ago
MAP-MRF approach for binarization of degraded document image
We propose an algorithm for the binarization of document images degraded by uneven light distribution, based on the Markov Random Field modeling with Maximum A Posteriori probabil...
Jung Gap Kuk, Nam Ik Cho, Kyoung Mu Lee
DATE
2007
IEEE
146views Hardware» more  DATE 2007»
15 years 4 months ago
Data-flow transformations using Taylor expansion diagrams
Abstract: An original technique to transform functional representation of the design into a structural representation in form of a data flow graph (DFG) is described. A canonical,...
Maciej J. Ciesielski, Serkan Askar, Daniel Gomez-P...
GECCO
2004
Springer
147views Optimization» more  GECCO 2004»
15 years 3 months ago
A Demonstration of Neural Programming Applied to Non-Markovian Problems
Genetic programming may be seen as a recent incarnation of a long-held goal in evolutionary computation: to develop actual computational devices through evolutionary search. Geneti...
Gabriel Catalin Balan, Sean Luke
ICCV
2009
IEEE
1655views Computer Vision» more  ICCV 2009»
16 years 2 months ago
Shift-Map Image Editing
Geometric rearrangement of images includes operations such as image retargeting, inpainting, or object rearrangement. Each such operation can be characterized by a shiftmap: the...
Yael Pritch, Eitam Kav-Venaki, Shmuel Peleg
CORR
2007
Springer
130views Education» more  CORR 2007»
14 years 9 months ago
Lagrangian Relaxation for MAP Estimation in Graphical Models
Abstract— We develop a general framework for MAP estimation in discrete and Gaussian graphical models using Lagrangian relaxation techniques. The key idea is to reformulate an in...
Jason K. Johnson, Dmitry M. Malioutov, Alan S. Wil...