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» Efficient Graphical Models for Processing Images
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CIMCA
2005
IEEE
14 years 1 months ago
Statistical Learning Procedure in Loopy Belief Propagation for Probabilistic Image Processing
We give a fast and practical algorithm for statistical learning hyperparameters from observable data in probabilistic image processing, which is based on Gaussian graphical model ...
Kazuyuki Tanaka
ICPR
2006
IEEE
14 years 8 months ago
Finding Text in Natural Scenes by Figure-Ground Segmentation
Much past research on finding text in natural scenes uses bottom-up grouping processes to detect candidate text features as a first processing step. While such grouping procedures...
Huiying Shen, James Coughlan
VIS
2004
IEEE
164views Visualization» more  VIS 2004»
14 years 8 months ago
Real-Time Motion Estimation and Visualization on Graphics Cards
We present a tool for real-time visualization of motion features in 2D image sequences. The motion is estimated through an eigenvector analysis of the spatiotemporal structure ten...
Christoph S. Garbe, Robert Strzodka
ICIP
2005
IEEE
14 years 9 months ago
Maximum a posteriori image restoration based on a new directional continuous edge image prior
In this paper we propose a new hierarchical non stationary image prior for image restoration. This prior captures the directional edges using a continuous model and regularizes acc...
John Chantas, Nikolas P. Galatsanos, Aristidis Lik...
GECCO
2008
Springer
257views Optimization» more  GECCO 2008»
13 years 8 months ago
Rapid evaluation and evolution of neural models using graphics card hardware
This paper compares three common evolutionary algorithms and our modified GA, a Distributed Adaptive Genetic Algorithm (DAGA). The optimal approach is sought to adapt, in near rea...
Thomas F. Clayton, Leena N. Patel, Gareth Leng, Al...