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» Cluster computing for web-scale data processing
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ICPR
2008
IEEE
14 years 3 months ago
Incremental clustering via nonnegative matrix factorization
Nonnegative matrix factorization (NMF) has been shown to be an efficient clustering tool. However, NMF`s batch nature necessitates recomputation of whole basis set for new samples...
Serhat Selcuk Bucak, Bilge Günsel
CONTEXT
2007
Springer
14 years 2 months ago
Risk Context Effects in Inductive Reasoning: An Experimental and Computational Modeling Study
Mechanisms that underlie the inductive reasoning process in risk contexts are investigated. Experimental results indicate that people rate the same inductive reasoning argument dif...
Kayo Sakamoto, Masanori Nakagawa
IPSN
2010
Springer
13 years 10 months ago
Information processing for live photo mosaic with a group of wireless image sensors
Photo tourism [11] is a platform that allows users to transform unstructured online digital photos into a 3D experience. Nowadays, image sensors are being extensively used to allo...
Fulu Li, James Barabas, Ana L. Santos
KDD
2008
ACM
274views Data Mining» more  KDD 2008»
14 years 9 months ago
Data mining using high performance data clouds: experimental studies using sector and sphere
We describe the design and implementation of a high performance cloud that we have used to archive, analyze and mine large distributed data sets. By a cloud, we mean an infrastruc...
Robert L. Grossman, Yunhong Gu
BMCBI
2010
139views more  BMCBI 2010»
13 years 8 months ago
A highly efficient multi-core algorithm for clustering extremely large datasets
Background: In recent years, the demand for computational power in computational biology has increased due to rapidly growing data sets from microarray and other high-throughput t...
Johann M. Kraus, Hans A. Kestler