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» Accelerating Large Data Analysis by Exploiting Regularities
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BMCBI
2010
148views more  BMCBI 2010»
13 years 6 months ago
Structuring heterogeneous biological information using fuzzy clustering of k-partite graphs
Background: Extensive and automated data integration in bioinformatics facilitates the construction of large, complex biological networks. However, the challenge lies in the inter...
Mara L. Hartsperger, Florian Blöchl, Volker S...
HUC
2004
Springer
14 years 3 days ago
The Error of Our Ways: The Experience of Self-Reported Position in a Location-Based Game
We present a study of people’s use of positional information as part of a collaborative location-based game. The game exploits self-reported positioning in which mobile players m...
Steve Benford, Will Seager, Martin Flintham, Rob A...
DAS
2008
Springer
13 years 8 months ago
Handling of Surface Modifications for Robust Image Based Mail Piece Comparison
Image based mail piece identification is a new technology for optimizing the postal sorting process. Exploiting the mail piece surface uniqueness, characteristic features are used...
Katja Worm, Beate Meffert
PAMI
2007
202views more  PAMI 2007»
13 years 6 months ago
Weighted Graph Cuts without Eigenvectors A Multilevel Approach
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
PPOPP
2012
ACM
12 years 2 months ago
Massively parallel breadth first search using a tree-structured memory model
Analysis of massive graphs has emerged as an important area for massively parallel computation. In this paper, it is shown how the Fresh Breeze trees-of-chunks memory model may be...
Tom St. John, Jack B. Dennis, Guang R. Gao