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CVPR
2011
IEEE
13 years 4 days ago
Topologically-Robust 3D Shape Matching Based on Diffusion Geometry and Seed Growing
3D Shape matching is an important problem in computer vision. One of the major difficulties in finding dense correspondences between 3D shapes is related to the topological disc...
Avinash Sharma, Radu Horaud, Jan Cech, Edmond Boye...
ICIP
2003
IEEE
14 years 10 months ago
MRA data segmentation using level sets
In this paper, we use a level set based segmentation algorithm to extract the vascular tree from Magnetic Resonance Angiography, "MRA". Classification model finds an opt...
Hossam S. Hassan, Aly A. Farag
IADIS
2008
13 years 9 months ago
Sisa: Seeded Iterative Signature Algorithm for Biclustering Gene Expression Data
One approach to reduce the complexity of the task in the analysis of large scale genome-wide expression is to group the genes showing similar expression patterns into what are cal...
Neelima Gupta, Seema Aggarwal
ISBI
2007
IEEE
14 years 2 months ago
Harp Tracking Refinement Using Seeded Region Growing
Tagged magnetic resonance (MR) imaging makes it possible to image the motion of tissues such as the muscles found in the heart and tongue. The harmonic phase (HARP) method largely...
Xiaofeng Liu, Emi Murano, Maureen C. Stone, Jerry ...
ICPR
2008
IEEE
14 years 2 months ago
Categorization using semi-supervised clustering
Many applications require matching objects to a predefined, yet highly dynamic set of categories accompanied by category descriptions. We present a novel approach to solving this...
Jianying Hu, Moninder Singh, Aleksandra Mojsilovic