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» A Statistical Clustering Model and Algorithm
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CVPR
2011
IEEE
15 years 2 months ago
Local Isomorphism to Solve the Pre-image Problem in Kernel Methods
Kernel methods have been popular over the last decade to solve many computer vision, statistics and machine learning problems. An important, both theoretically and practically, op...
Dong Huang, Yuandong Tian, Fernando DelaTorre
ESANN
2004
15 years 8 months ago
Functional radial basis function networks
There has been recently a lot of interest for functional data analysis [1] and extensions of well-known methods to functional inputs (clustering algorithm [2], non-parametric model...
Nicolas Delannay, Fabrice Rossi, Brieuc Conan-Guez...
ICIP
1997
IEEE
16 years 8 months ago
An Optimization Approach to Unsupervised Hierarchical Texture Segmentation
In this paper we introduce a novel optimization framework for hierarchical data clustering and apply it to the problem of unsupervised texture segmentation. The proposed objective...
Thomas Hofmann, Jan Puzicha, Joachim M. Buhmann
SARA
2005
Springer
16 years 2 days ago
The Cruncher: Automatic Concept Formation Using Minimum Description Length
Abstract. We present The Cruncher, a simple representation framework and algorithm based on minimum description length for automatically forming an ontology of concepts from attrib...
Marc Pickett, Tim Oates
IPPS
2003
IEEE
15 years 12 months ago
Semi-Structured Portable Library for Multiprocessor Servers
The MiPPS library supports a hybrid model of parallel programming. The library is targeted at commodity multiprocessors, with support for clusters. The implementation of the concu...
Georgios Tsilikas, Martin Fleury