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BMCBI
2004
156views more  BMCBI 2004»
13 years 7 months ago
DIALIGN P: Fast pair-wise and multiple sequence alignment using parallel processors
Background: Parallel computing is frequently used to speed up computationally expensive tasks in Bioinformatics. Results: Herein, a parallel version of the multi-alignment program...
Martin Schmollinger, Kay Nieselt, Michael Kaufmann...
CVPR
2012
IEEE
11 years 9 months ago
Active image clustering: Seeking constraints from humans to complement algorithms
We propose a method of clustering images that combines algorithmic and human input. An algorithm provides us with pairwise image similarities. We then actively obtain selected, mo...
Arijit Biswas, David W. Jacobs
CVPR
2009
IEEE
15 years 2 months ago
Constrained Clustering via Spectral Regularization
We propose a novel framework for constrained spectral clustering with pairwise constraints which specify whether two objects belong to the same cluster or not. Unlike previous m...
Zhenguo Li (The Chinese University of Hong Kong), ...
ICPR
2008
IEEE
14 years 1 months ago
Unsupervised clustering using hyperclique pattern constraints
A novel unsupervised clustering algorithm called Hyperclique Pattern-KMEANS (HP-KMEANS) is presented. Considering recent success in semisupervised clustering using pair-wise const...
Yuchou Chang, Dah-Jye Lee, James K. Archibald, Yi ...
IDA
2009
Springer
14 years 1 months ago
How to Control Clustering Results? Flexible Clustering Aggregation
One of the most important and challenging questions in the area of clustering is how to choose the best-fitting algorithm and parameterization to obtain an optiml clustering for t...
Martin Hahmann, Peter Benjamin Volk, Frank Rosenth...