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» Model order selection for bio-molecular data clustering
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ICASSP
2010
IEEE
15 years 6 months ago
Swift: Scalable weighted iterative sampling for flow cytometry clustering
Flow cytometry (FC) is a powerful technology for rapid multivariate analysis and functional discrimination of cells. Current FC platforms generate large, high-dimensional datasets...
Iftekhar Naim, Suprakash Datta, Gaurav Sharma, Jam...
159
Voted
IPPS
1998
IEEE
15 years 10 months ago
COMPaS: A Pentium Pro PC-based SMP Cluster and Its Experience
We have built an eight node SMP cluster called COMPaS (Cluster Of Multi-Processor Systems), each node of which is a quadprocessor Pentium Pro PC. We have designed and implemented a...
Yoshio Tanaka, Motohiko Matsuda, Makoto Ando, Kazu...
SIGMOD
2006
ACM
111views Database» more  SIGMOD 2006»
16 years 6 months ago
Reconciling while tolerating disagreement in collaborative data sharing
In many data sharing settings, such as within the biological and biomedical communities, global data consistency is not always attainable: different sites' data may be dirty,...
Nicholas E. Taylor, Zachary G. Ives
BMCBI
2006
216views more  BMCBI 2006»
15 years 6 months ago
Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
Background: Retinal photoreceptors are highly specialised cells, which detect light and are central to mammalian vision. Many retinal diseases occur as a result of inherited dysfu...
Haiying Wang, Huiru Zheng, David Simpson, Francisc...
CVPR
2005
IEEE
16 years 8 months ago
Subspace Analysis Using Random Mixture Models
In [1], three popular subspace face recognition methods, PCA, Bayes, and LDA were analyzed under the same framework and an unified subspace analysis was proposed. However, since t...
Xiaogang Wang, Xiaoou Tang