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CBMS
2005
IEEE
15 years 8 months ago
Biclustering of Expression Data Using Simulated Annealing
In gene expression data a bicluster is a subset of genes and a subset of conditions which show correlating levels of expression. However, the problem of finding significant biclu...
Kenneth Bryan, Padraig Cunningham, Nadia Bolshakov...
ACL
2011
14 years 10 months ago
Collecting Highly Parallel Data for Paraphrase Evaluation
A lack of standard datasets and evaluation metrics has prevented the field of paraphrasing from making the kind of rapid progress enjoyed by the machine translation community ove...
David Chen, William B. Dolan
ICASSP
2008
IEEE
16 years 1 months ago
Towards the use of full covariance models for missing data speaker recognition
This work investigates the use of missing data techniques for noise robust speaker identification. Most previous work in this field relies on the diagonal covariance assumption ...
Marco Kühne, Daniel Pullella, Roberto Togneri...
IJCNN
2006
IEEE
16 years 21 days ago
P-SVM Variable Selection for Discovering Dependencies Between Genetic and Brain Imaging Data
— The joint analysis of genetic and brain imaging data is the key to understand the genetic underpinnings of brain dysfunctions in several psychiatric diseases known to have a st...
Johannes Mohr, Imke Puis, Jana Wrase, Sepp Hochrei...
IPSN
2003
Springer
15 years 12 months ago
Event Detection Services Using Data Service Middleware in Distributed Sensor Networks
This paper presents the Real-Time Event Detection Service using Data Service Middleware (DSWare). DSWare provides data-centric and group-based services for sensor networks. The rea...
Shuoqi Li, Sang Hyuk Son, John A. Stankovic