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MICCAI
2003
Springer
15 years 10 months ago
Robust Estimation for Brain Tumor Segmentation
Given models for healthy brains, tumor segmentation can be seen as a process of detecting abnormalities or outliers that are present with certain image intensity and geometric prop...
Marcel Prastawa, Elizabeth Bullitt, Sean Ho, Guido...
CVPR
2009
IEEE
15 years 1 months ago
Robust unsupervised segmentation of degraded document images with topic models
Segmentation of document images remains a challenging vision problem. Although document images have a structured layout, capturing enough of it for segmentation can be difficult....
Timothy J. Burns, Jason J. Corso
ICASSP
2010
IEEE
14 years 10 months ago
A robust minimum volume enclosing simplex algorithm for hyperspectral unmixing
Hyperspectral unmixing is a process of extracting hidden spectral signatures (or endmembers) and the corresponding proportions (or abundances) of a scene, from its hyperspectral o...
Arul-Murugan Ambikapathi, Tsung-Han Chan, Wing-Kin...
PAMI
2007
134views more  PAMI 2007»
14 years 9 months ago
Spatio-Temporal Context for Robust Multitarget Tracking
—In multitarget tracking, the main challenge is to maintain the correct identity of targets even under occlusions or when differences between the targets are small. The paper pro...
Hieu Tat Nguyen, Qiang Ji, Arnold W. M. Smeulders
ICCV
2007
IEEE
15 years 11 months ago
Articulated Shape Matching by Robust Alignment of Embedded Representations
In this paper we propose a general framework to solve the articulated shape matching problem, formulated as finding point-to-point correspondences between two shapes represented b...
Diana Mateus, Fabio Cuzzolin, Radu Horaud, Edmond ...