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IJPRAI
2002
97views more  IJPRAI 2002»
14 years 9 months ago
Shape Description and Invariant Recognition Employing Connectionist Approach
This paper presents a new approach for shape description and invariant recognition by geometric-normalization implemented by neural networks. The neural system consists of a shape...
Jezekiel Ben-Arie, Zhiqian Wang
ROBOCUP
2007
Springer
89views Robotics» more  ROBOCUP 2007»
15 years 4 months ago
Region-Based Segmentation with Ambiguous Color Classes and 2-D Motion Compensation
This paper presents a new approach for color segmentation, in which colors are not only mapped to unambiguous but also to ambiguous color classes. The ambiguous color classes are r...
Thomas Röfer
JCB
2007
191views more  JCB 2007»
14 years 10 months ago
Bayesian Haplotype Inference via the Dirichlet Process
The problem of inferring haplotypes from genotypes of single nucleotide polymorphisms (SNPs) is essential for the understanding of genetic variation within and among populations, ...
Eric P. Xing, Michael I. Jordan, Roded Sharan
MICCAI
2009
Springer
15 years 7 months ago
A Spatio-temporal Atlas of the Human Fetal Brain with Application to Tissue Segmentation
Modeling and analysis of MR images of the early developing human brain is a challenge because of the transient nature of different tissue classes during brain growth. To address th...
Piotr A. Habas, Kio Kim, François Rousseau,...
MICCAI
2006
Springer
15 years 11 months ago
Logarithm Odds Maps for Shape Representation
The concept of the Logarithm of the Odds (LogOdds) is frequently used in areas such as artificial neural networks, economics, and biology. Here, we utilize LogOdds for a shape repr...
Kilian M. Pohl, John W. Fisher III, Martha Elizabe...