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ISBI
2007
IEEE
14 years 2 months ago
Space-Time Sparsity Regularization for the Magnetoencephalography Inverse Problem
The concept of “Space-Time Sparsity” (STS) penalization is introduced for solving the magnetoencephalography (MEG) inverse problem. The STS approach assumes that events of int...
Andrew K. Bolstad, Barry D. Van Veen, Robert D. No...
ECCV
2008
Springer
14 years 9 months ago
Belief Propagation with Directional Statistics for Solving the Shape-from-Shading Problem
The Shape-from-Shading [SfS] problem infers shape from reflected light, collected using a camera at a single point in space only. Reflected light alone does not provide sufficient ...
Tom S. F. Haines, Richard C. Wilson
GECCO
2004
Springer
118views Optimization» more  GECCO 2004»
14 years 1 months ago
Adaptive Sampling for Noisy Problems
Abstract. The usual approach to deal with noise present in many realworld optimization problems is to take an arbitrary number of samples of the objective function and use the samp...
Erick Cantú-Paz
ICIP
1997
IEEE
14 years 9 months ago
Using mean field annealing to solve anisotropic diffusion problems
Anisotropic diffusion is a powerful method for image feature extraction in which blurring is allowed to occur except at edges. Mean field annealing (MFA) is an image optimization ...
Hairong Qi, Wesley E. Snyder, Griff L. Bilbro
ICDAR
2009
IEEE
13 years 5 months ago
Learning on the Fly: Font-Free Approaches to Difficult OCR Problems
Despite ubiquitous claims that optical character recognition (OCR) is a "solved problem," many categories of documents continue to break modern OCR software such as docu...
Andrew Kae, Erik G. Learned-Miller