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ISBI
2009
IEEE
16 years 1 months ago
Probabilistic Branching Node Detection Using Hybrid Local Features
Probabilistic branching node inference is an important step for analyzing branching patterns involved in many anatomic structures. We propose combining machine learning techniques...
Haibin Ling, Michael Barnathan, Vasileios Megalooi...
SCALESPACE
2005
Springer
16 years 8 days ago
Matrix-Valued Filters as Convex Programs
Matrix-valued images gain increasing importance both as the output of new imaging techniques and as the result of image processing operations, bearing the need for robust and effic...
Martin Welk, Florian Becker, Christoph Schnör...
ICIP
2005
IEEE
16 years 12 days ago
Bayesian blind source separation for brain imaging
This paper deals with the problem of blind source separation in fMRI data analysis. Our main contribution is to present a maximum likelihood based method to blindly separate the b...
Hicham Snoussi, Vince D. Calhoun
TOG
2010
202views more  TOG 2010»
15 years 1 months ago
A comparative study of image retargeting
The numerous works on media retargeting call for a methodological approach for evaluating retargeting results. We present the first comprehensive perceptual study and analysis of ...
Michael Rubinstein, Diego Gutierrez, Olga Sorkine,...
DAS
2008
Springer
15 years 8 months ago
A Two-Step Dewarping of Camera Document Images
Dewarping of camera document images has attracted a lot of interest over the last few years since warping not only reduces the document readability but also affects the accuracy o...
Nikolaos Stamatopoulos, Basilios Gatos, Ioannis Pr...