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ANOR
2010
135views more  ANOR 2010»
15 years 7 months ago
A framework of irregularity enlightenment for data pre-processing in data mining
Abstract Irregularities are widespread in large databases and often lead to erroneous conclusions with respect to data mining and statistical analysis. For example, considerable bi...
Siu-Tong Au, Rong Duan, Siamak G. Hesar, Wei Jiang
BMCBI
2006
75views more  BMCBI 2006»
15 years 7 months ago
Improving the specificity of high-throughput ortholog prediction
Background: Orthologs (genes that have diverged after a speciation event) tend to have similar function, and so their prediction has become an important component of comparative g...
Debra L. Fulton, Yvonne Y. Li, Matthew R. Laird, B...
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JCIT
2008
117views more  JCIT 2008»
15 years 6 months ago
The New Face Recognition Technique With the use of PCA and LDA
Image recognition using various image classifiers is an active research area. In this paper we will describe a new face recognition method based on PCA (Principal Component Analys...
Seyed Zeinolabedin Moussavi, Saeedreza Ehteram, Al...
IWC
2006
70views more  IWC 2006»
15 years 6 months ago
Exploring the design space of robots: Children's perspectives
Children's perceptions and evaluations of different robot designs are an important unexplored area within robotics research considering that many robots are specifically desi...
Sarah Woods
DSP
2007
15 years 6 months ago
Blind separation of nonlinear mixtures by variational Bayesian learning
Blind separation of sources from nonlinear mixtures is a challenging and often ill-posed problem. We present three methods for solving this problem: an improved nonlinear factor a...
Antti Honkela, Harri Valpola, Alexander Ilin, Juha...
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