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» Collusion set detection using graph clustering
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DAC
2009
ACM
14 years 20 days ago
NUDA: a non-uniform debugging architecture and non-intrusive race detection for many-core
Traditional debug methodologies are limited in their ability to provide debugging support for many-core parallel programming. Synchronization problems or bugs due to race conditio...
Chi-Neng Wen, Shu-Hsuan Chou, Tien-Fu Chen, Alan P...
IJPRAI
2008
144views more  IJPRAI 2008»
13 years 8 months ago
Unsupervised Learning of a Hierarchy of Topological Maps Using Omnidirectional Images
unsupervised construction of topological maps, which provide an abstraction of the environment in terms of visual aspects. An unsupervised clustering algorithm is used to represent...
Ales Stimec, Matjaz Jogan, Ales Leonardis
DAS
2010
Springer
14 years 1 months ago
Detecting and recognizing tables in spreadsheets
Detecting tables in a spreadsheet is the first step needed to make spreadsheet documents accessible to individuals with visual disabilities. Techniques to enable aural presentati...
Iyad Abu Doush, Enrico Pontelli
COMPGEOM
2011
ACM
13 years 11 days ago
Persistence-based clustering in riemannian manifolds
We present a clustering scheme that combines a mode-seeking phase with a cluster merging phase in the corresponding density map. While mode detection is done by a standard graph-b...
Frédéric Chazal, Leonidas J. Guibas,...
BMCBI
2010
129views more  BMCBI 2010»
13 years 9 months ago
A temporal precedence based clustering method for gene expression microarray data
Background: Time-course microarray experiments can produce useful data which can help in understanding the underlying dynamics of the system. Clustering is an important stage in m...
Ritesh Krishna, Chang-Tsun Li, Vicky Buchanan-Woll...