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» Generalized Discriminant Analysis Using a Kernel Approach
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JMLR
2010
179views more  JMLR 2010»
13 years 3 months ago
PAC-Bayesian Analysis of Co-clustering and Beyond
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...
Yevgeny Seldin, Naftali Tishby
ICPR
2006
IEEE
14 years 10 months ago
Adaptive Feature Integration for Segmentation of 3D Data by Unsupervised Density Estimation
In this paper, a novel unsupervised approach for the segmentation of unorganized 3D points sets is proposed. The method derives by the mean shift clustering paradigm devoted to se...
Marco Cristani, Umberto Castellani, Vittorio Murin...
GG
2008
Springer
13 years 10 months ago
Formal Analysis of Model Transformations Based on Triple Graph Rules with Kernels
Abstract. Triple graph transformation has become an important approach for model transformations. Triple graphs consist of a source, a target and a connection graph. The correspond...
Hartmut Ehrig, Ulrike Prange
ICPR
2002
IEEE
14 years 10 months ago
Separating Color and Pattern Information for Color Texture Discrimination
The analysis of colored surface textures is a challenging research problem in computer vision. Current approaches to this task can be roughly divided into two categories: methods ...
Topi Mäenpää, Matti Pietikäine...
WWW
2011
ACM
13 years 3 months ago
A self-training approach for resolving object coreference on the semantic web
An object on the Semantic Web is likely to be denoted with multiple URIs by different parties. Object coreference resolution is to identify “equivalent” URIs that denote the ...
Wei Hu, Jianfeng Chen, Yuzhong Qu