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» Extracting All the Randomness from a Weakly Random Source
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CP
1998
Springer
13 years 11 months ago
Random Constraint Satisfaction: Theory Meets Practice
Abstract. We study the experimental consequences of a recent theoretical result by Achlioptas et al. that shows that conventional models of random problems are trivially insoluble ...
Ewan MacIntyre, Patrick Prosser, Barbara M. Smith,...
SAC
2003
ACM
14 years 22 days ago
A Markov Random Field Model of Microarray Gridding
DNA microarray hybridisation is a popular high throughput technique in academic as well as industrial functional genomics research. In this paper we present a new approach to auto...
Mathias Katzer, Franz Kummert, Gerhard Sagerer
MCS
2007
Springer
14 years 1 months ago
Selecting Diversifying Heuristics for Cluster Ensembles
Abstract. Cluster ensembles are deemed to be better than single clustering algorithms for discovering complex or noisy structures in data. Various heuristics for constructing such ...
Stefan Todorov Hadjitodorov, Ludmila I. Kuncheva
CVPR
2009
IEEE
15 years 2 months ago
Implicit Elastic Matching with Random Projections for Pose-variant Face Recognition
We present a new approach to robust pose-variant face recognition, which exhibits excellent generalization ability even across completely different datasets due to its weak depe...
John Wright (University of Illinois), Gang Hua (Mi...
TIT
1998
89views more  TIT 1998»
13 years 7 months ago
The Common Randomness Capacity of a Pair of Independent Discrete Memoryless Channels
—We study the following problem: two agents Alice and Bob are connected to each other by independent discrete memoryless channels. They wish to generate common randomness, i.e., ...
Sivarama Venkatesan, Venkat Anantharam