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» Hierarchical Structuring of Data on Manifolds
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ICDM
2007
IEEE
153views Data Mining» more  ICDM 2007»
14 years 3 months ago
HSN-PAM: Finding Hierarchical Probabilistic Groups from Large-Scale Networks
Real-world social networks are often hierarchical, reflecting the fact that some communities are composed of a few smaller, sub-communities. This paper describes a hierarchical B...
Haizheng Zhang, Wei Li, Xuerui Wang, C. Lee Giles,...
ICCV
2001
IEEE
14 years 10 months ago
Hierarchical Pre-Segmentation without Prior Knowledge
A new method to pre-segment images by means of a hierarchical description is proposed. This description is obtained from an investigation of the deep structure of a scale space im...
Arjan Kuijper, Luc Florack
IVC
2006
137views more  IVC 2006»
13 years 8 months ago
An information-theoretic approach to face recognition from face motion manifolds
In this work we consider face recognition from Face Motion Manifolds (FMMs). The use of the Resistor-Average Distance (RAD) as a dissimilarity measure between densities confined t...
Ognjen Arandjelovic, Roberto Cipolla
ADCM
2008
136views more  ADCM 2008»
13 years 9 months ago
Learning and approximation by Gaussians on Riemannian manifolds
Learning function relations or understanding structures of data lying in manifolds embedded in huge dimensional Euclidean spaces is an important topic in learning theory. In this ...
Gui-Bo Ye, Ding-Xuan Zhou
EDBT
2004
ACM
172views Database» more  EDBT 2004»
14 years 9 months ago
Efficient Similarity Search for Hierarchical Data in Large Databases
Structured and semi-structured object representations are getting more and more important for modern database applications. Examples for such data are hierarchical structures inclu...
Karin Kailing, Hans-Peter Kriegel, Stefan Schö...