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ICPR
2006
IEEE
16 years 5 months ago
Part-Based Probabilistic Point Matching
Correspondence algorithms typically struggle with shapes that display part-based variation. We present a probabilistic approach that matches shapes using independent part transfor...
Graham McNeill, Sethu Vijayakumar
ICPR
2008
IEEE
15 years 10 months ago
Phase diagram of a long bar under a higher-order active contour energy: Application to hydrographic network extraction from VHR
The segmentation of networks is important in several imaging domains, and models incorporating prior shape knowledge are often essential for the automatic performance of this task...
Aymen El Ghoul, Ian H. Jermyn, Josiane Zerubia
128
Voted
SCALESPACE
2009
Springer
15 years 10 months ago
Pre-image as Karcher Mean Using Diffusion Maps: Application to Shape and Image Denoising
In the context of shape and image modeling by manifold learning, we focus on the problem of denoising. A set of shapes or images being known through given samples, we capture its s...
Nicolas Thorstensen, Florent Ségonne, Renau...
131
Voted
IJCNN
2007
IEEE
15 years 10 months ago
Analysis of mammogram using self-organizing neural networks based on spatial isomorphism
— The correct segmentation and measurement of mammography images is of fundamental importance for the development of automatic or computer-aided cancer detection systems. In this...
Aida A. Ferreira, Francisco Nascimento Jr., Ing Re...
DEXAW
2005
IEEE
170views Database» more  DEXAW 2005»
15 years 9 months ago
Functional Annotation of Genes through Statistical Analysis of Biomedical Articles
One of the most elaborate and important tasks in biology is the functional annotation of genes. Biologists have developed standardized and structured vocabularies, called bio-onto...
Theodosios Theodosiou, Lefteris Angelis, Athena Va...