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» Comparing distributions and shapes using the kernel distance
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77
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DIS
2006
Springer
15 years 1 months ago
Clustering Pairwise Distances with Missing Data: Maximum Cuts Versus Normalized Cuts
Abstract. Clustering algorithms based on a matrix of pairwise similarities (kernel matrix) for the data are widely known and used, a particularly popular class being spectral clust...
Jan Poland, Thomas Zeugmann
88
Voted
BMCBI
2006
127views more  BMCBI 2006»
14 years 9 months ago
Construction of phylogenetic trees by kernel-based comparative analysis of metabolic networks
Background: To infer the tree of life requires knowledge of the common characteristics of each species descended from a common ancestor as the measuring criteria and a method to c...
Sok June Oh, Je-Gun Joung, Jeong Ho Chang, Byoung-...
PCM
2010
Springer
179views Multimedia» more  PCM 2010»
14 years 7 months ago
3D Similarity Search Using a Weighted Structural Histogram Representation
A fast and robust 3D retrieval method is proposed based on a novel weighted structural histogram representation. Our method has the following steps: 1) adaptively segment any 3D sh...
Tong Lu, Rongjun Gao, Tuantuan Wang, Yubin Yang
CSDA
2007
101views more  CSDA 2007»
14 years 9 months ago
The evaluation of evidence for exponentially distributed data
At present, likelihood ratios for two-level models are determined with the use of a normal kernel estimation procedure when the between-group distribution is thought to be non-nor...
C. G. G. Aitken, Qiang Shen, Richard Jensen, B. Ha...
MICCAI
2002
Springer
15 years 10 months ago
Performance Issues in Shape Classification
Shape comparisons of two groups of objects often have two goals: to create a classifier to separate the groups and to provide information that shows differences between classes. We...
Samson J. Timoner, Polina Golland, Ron Kikinis, Ma...