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GFKL
2007
Springer
148views Data Mining» more  GFKL 2007»
14 years 2 months ago
Mixture Model Based Group Inference in Fused Genotype and Phenotype Data
The analysis of genetic diseases has classically been directed towards establishing direct links between cause, a genetic variation, and effect, the observable deviation of phenot...
Benjamin Georgi, M. Anne Spence, Pamela Flodman, A...
ESANN
2001
13 years 9 months ago
Transfer functions: hidden possibilities for better neural networks
Abstract. Sigmoidal or radial transfer functions do not guarantee the best generalization nor fast learning of neural networks. Families of parameterized transfer functions provide...
Wlodzislaw Duch, Norbert Jankowski
ICIP
2006
IEEE
14 years 9 months ago
Fusion of Visible and Infrared Images using Empirical Mode Decomposition to Improve Face Recognition
In this effort, we propose a new image fusion technique, utilizing Empirical Mode Decomposition (EMD), for improved face recognition. EMD is a non-parametric datadriven analysis t...
Harishwaran Hariharan, Andreas Koschan, Besma R. A...
ISCAS
2003
IEEE
169views Hardware» more  ISCAS 2003»
14 years 1 months ago
One class of transfer functions with monotonic step response
—The paper describes the transfer functions with monotonic step response. These functions required in design of wide-band pulse amplifiers were synthesized using the first semi-p...
Igor M. Filanovsky
IJCNN
2000
IEEE
14 years 6 days ago
Taxonomy of Neural Transfer Functions
The choice of transfer functions may strongly influence complexity and performance of neural networks used in classification and approximation tasks. A taxonomy of activation an...
Wlodzislaw Duch, Norbert Jankowski