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» A Variational Model for P XS Image Fusion
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CVPR
2008
IEEE
14 years 9 months ago
Principled fusion of high-level model and low-level cues for motion segmentation
High-level generative models provide elegant descriptions of videos and are commonly used as the inference framework in many unsupervised motion segmentation schemes. However, app...
Arasanathan Thayananthan, Masahiro Iwasaki, Robert...
BMCBI
2011
12 years 10 months ago
Fusion of metabolomics and proteomics data for biomarkers discovery: case study on the experimental autoimmune encephalomyelitis
Background: Analysis of Cerebrospinal Fluid (CSF) samples holds great promise to diagnose neurological pathologies and gain insight into the molecular background of these patholog...
Lionel Blanchet, Agnieszka Smolinska, Amos Attali,...
IPCV
2007
13 years 8 months ago
Nonconvex Regularization for Image Segmentation
Abstract - We propose a new method for image segmentation based on a variational regularization algorithm for image denoising. We modify the Rudin-Osher-Fatemi (ROF) model in [1] b...
Rick Chartrand, Valentina Staneva
ICB
2007
Springer
112views Biometrics» more  ICB 2007»
14 years 1 months ago
Similarity Rank Correlation for Face Recognition Under Unenrolled Pose
Face recognition systems have to deal with the problem that not all variations of all persons can be enrolled. Rather, the variations of most persons must be modeled. Explicit mode...
Marco K. Müller, Alexander Heinrichs, Andreas...
CVPR
2004
IEEE
14 years 9 months ago
A Unified Framework for Uncertainty Propagation in Automatic Shape Tracking
Uncertainty handling plays an important role during shape tracking. We have recently shown that the fusion of measurement information with system dynamics and shape priors greatly...
Xiang Sean Zhou, Dorin Comaniciu, Binglong Xie, R....