Sciweavers

847 search results - page 56 / 170
» Approximation algorithms for projective clustering
Sort
View
PR
2008
123views more  PR 2008»
15 years 17 days ago
Extensions of vector quantization for incremental clustering
In this paper, we extend the conventional vector quantization by incorporating a vigilance parameter, which steers the tradeoff between plasticity and stability during incremental...
Edwin Lughofer
95
Voted
CSB
2005
IEEE
139views Bioinformatics» more  CSB 2005»
15 years 6 months ago
Using Parallel Algorithms for Searching Molecular Sequence Databases
This work presents the development of algorithms for approximate string matching using parallel methods. It intends to do the maximum of molecular sequences comparisons per unity ...
Carla Correa Tavares dos Reis, Rubem P. Mondaini
107
Voted
HICSS
2008
IEEE
199views Biometrics» more  HICSS 2008»
15 years 7 months ago
Clustering and the Biclique Partition Problem
A technique for clustering data by common attribute values involves grouping rows and columns of a binary matrix to make the minimum number of submatrices all 1’s. As binary mat...
Doina Bein, Linda Morales, Wolfgang W. Bein, C. O....
PAMI
2011
14 years 7 months ago
Parallel Spectral Clustering in Distributed Systems
Spectral clustering algorithms have been shown to be more effective in finding clusters than some traditional algorithms such as k-means. However, spectral clustering suffers fro...
Wen-Yen Chen, Yangqiu Song, Hongjie Bai, Chih-Jen ...
ICCV
2009
IEEE
14 years 10 months ago
An algorithm for minimizing the Mumford-Shah functional
In this work we revisit the Mumford-Shah functional, one of the most studied variational approaches to image segmentation. The contribution of this paper is to propose an algorith...
Thomas Pock, Daniel Cremers, Horst Bischof, Antoni...