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» Gradient estimation in global optimization algorithms
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EMMCVPR
1999
Springer
14 years 2 days ago
Adaptive Bayesian Contour Estimation: A Vector Space Representation Approach
Abstract. We propose a vector representation approach to contour estimation from noisy data. Images are modeled as random elds composed of a set of homogeneous regions contours (bo...
José M. B. Dias
ICDAR
2005
IEEE
14 years 1 months ago
Cursive word skew/slant corrections based on Radon transform
This paper presents two fast and robust algorithms for word skew and slant corrections based on Radon transform. For the skew correction, we maximize a global measure which is deï...
Jian-xiong Dong, Dominique Ponson, Adam Krzyzak, C...
ICIP
2007
IEEE
14 years 9 months ago
Automated Segmentation of Torn Frames using the Graph Cuts Technique
Film Tear is a form of degradation in archived film and is the physical ripping of the film material. Tear causes displacement of a region of the degraded frame and the loss of im...
David Corrigan, Naomi Harte, Anil C. Kokaram
CEC
2008
IEEE
14 years 2 months ago
Natural Evolution Strategies
— This paper presents Natural Evolution Strategies (NES), a novel algorithm for performing real-valued ‘black box’ function optimization: optimizing an unknown objective func...
Daan Wierstra, Tom Schaul, Jan Peters, Jürgen...
BMCBI
2005
89views more  BMCBI 2005»
13 years 7 months ago
An empirical analysis of training protocols for probabilistic gene finders
Background: Generalized hidden Markov models (GHMMs) appear to be approaching acceptance as a de facto standard for state-of-the-art ab initio gene finding, as evidenced by the re...
William H. Majoros, Steven Salzberg