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GFKL
2005
Springer
105views Data Mining» more  GFKL 2005»
14 years 2 months ago
Variable Selection for Discrimination of More Than Two Classes Where Data are Sparse
In classification, with an increasing number of variables, the required number of observations grows drastically. In this paper we present an approach to put into effect the maxi...
Gero Szepannek, Claus Weihs
ITIIS
2010
129views more  ITIIS 2010»
13 years 3 months ago
Encryption Scheme for MPEG-4 Media Transmission Exploiting Frame Dropping
Depending on network conditions, a communication network could be overloaded when media are transmitted. Research has been carried out to lessen network overloading, such as by fi...
Dongkyoo Shin, Dongil Shin, Jaewan Shin, Soohan Ki...
ICDAR
1999
IEEE
14 years 1 months ago
A Two-state Markov Chain Model of Degraded Document Images
We propose a two-state Markov chain model of degraded document images. The model generates random and burst noise to simulate isolated pixel reversal as well as blurring of a larg...
Shamik Sural, P. K. Das
ICANN
2010
Springer
13 years 9 months ago
Solving Independent Component Analysis Contrast Functions with Particle Swarm Optimization
Independent Component Analysis (ICA) is a statistical computation method that transforms a random vector in another one whose components are independent. Because the marginal distr...
Jorge Igual, Jehad I. Ababneh, Raul Llinares, Juli...
IDA
2010
Springer
13 years 7 months ago
GA-stacking: Evolutionary stacked generalization
Stacking is a widely used technique for combining classifiers and improving prediction accuracy. Early research in Stacking showed that selecting the right classifiers, their par...
Agapito Ledezma, Ricardo Aler, Araceli Sanch&iacut...