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» Comparing distributions and shapes using the kernel distance
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DIS
2006
Springer
15 years 4 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
113
Voted
BMCBI
2006
127views more  BMCBI 2006»
15 years 16 days 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 11 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»
15 years 13 days 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
16 years 1 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...