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ICDE
2009
IEEE
202views Database» more  ICDE 2009»
14 years 7 months ago
Tracking High Quality Clusters over Uncertain Data Streams
Recently, data mining over uncertain data streams has attracted a lot of attentions because of the widely existed imprecise data generated from a variety of streaming applications....
Chen Zhang, Ming Gao, Aoying Zhou
BMCBI
2006
119views more  BMCBI 2006»
13 years 5 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs
SCANGIS
2003
13 years 6 months ago
The Issue of Uncertainty Propagation in Spatial Decision Making
GISs give users facilities to integrate and analyze data from different sources with different scale, accuracy, resolution and quality of the original data which are the key aspect...
Rahim Ali. Abbaspour, Mahmoud Reza Delavar, Reihan...
VLSM
2005
Springer
13 years 10 months ago
Uncertainty-Driven Non-parametric Knowledge-Based Segmentation: The Corpus Callosum Case
Abstract. In this paper we propose a novel variational technique for the knowledge based segmentation of two dimensional objects. One of the elements of our approach is the use of ...
Maxime Taron, Nikos Paragios, Marie-Pierre Jolly
GLVLSI
2010
IEEE
138views VLSI» more  GLVLSI 2010»
13 years 10 months ago
Methodology to achieve higher tolerance to delay variations in synchronous circuits
A methodology is proposed for designing robust circuits exhibiting higher tolerance to process and environmental variations. This higher tolerance is achieved by exploiting the in...
Emre Salman, Eby G. Friedman