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GIR
2008
ACM
13 years 9 months ago
Evaluating field crisping methods for representing spatial prepositions
There is a need for GIR systems to interpret the vague aspects of spatial language. Here we describe an initial approach towards evaluating crisp realisations of a field-based mo...
Mark M. Hall, Christopher B. Jones

Publication
173views
12 years 7 months ago
Max-Flow Segmentation of the Left Ventricle by Recovering Subject-Specific Distributions via a Bound of the Bhattacharyya Measur
This study investigates fast detection of the left ventricle (LV) endo- and epicardium boundaries in a cardiac magnetic resonance (MR) sequence following the optimization of two or...
Ismail Ben Ayed, Hua-mei Chen, Kumaradevan Punitha...
JVCIR
2006
85views more  JVCIR 2006»
13 years 8 months ago
Combining geometrical and textured information to perform image classification
In this paper, we propose a framework to carry out supervised classification of images containing both textured and non textured areas. Our approach is based on active contours. U...
Jean-François Aujol, Tony F. Chan
ECCV
2008
Springer
14 years 10 months ago
Saliency Based Opportunistic Search for Object Part Extraction and Labeling
We study the task of object part extraction and labeling, which seeks to understand objects beyond simply identifiying their bounding boxes. We start from bottom-up segmentation of...
Yang Wu, Qihui Zhu, Jianbo Shi, Nanning Zheng
ICCV
2001
IEEE
14 years 10 months ago
Segmentation of the Left Ventricle in Cardiac MR Images
This paper describes a segmentation technique to automatically extract the myocardium in 4 0 cardiac M R images for quantitative cardiac analysis and the diagnosis of patients. Th...
Marie-Pierre Jolly, Nicolae Duta, Gareth Funka-Lea