1217 search results - page 108 / 244 » Real Representations |
139
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PAMI
2006
15 years 4 months ago
2006
Understanding the structure of multidimensional patterns, especially in unsupervised case, is of fundamental importance in data mining, pattern recognition and machine learning. Se...
140
Voted
ACIVS
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. In this work, we present two active shape models for the segmentation of tubular objects. The first model is built using cylindrical parameterization and minimum descrip...
154
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GRC
2008
IEEE
15 years 5 months ago
2008
IEEE
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
155
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WWW
2005
ACM
15 years 9 months ago
2005
ACM
We propose a technique for the automated synthesis of new comeb services. Given a set of abstract BPEL4WS descriptions of component services, and a composition requirement, we aut...
135
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IJCAI
2007
15 years 5 months ago
2007
Current research on qualitative spatial representation and reasoning usually focuses on one single aspect of space. However, in real world applications, several aspects are often ...