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» Nonlinear functional regression: a functional RKHS approach
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AMC
2006
67views more  AMC 2006»
14 years 11 months ago
A general probabilistic model of the PCR process
Earlier work by Saha et al. rigorously derived a general probabilistic model for the PCR process that includes as a special case the Velikanov-Kapral model where all nucleotide re...
Nilanjan Saha, Layne T. Watson, Karen Kafadar, Ale...
IACR
2011
91views more  IACR 2011»
13 years 11 months ago
A Scalable Method for Constructing Galois NLFSRs with Period $2^n-1$ using Cross-Join Pairs
This paper presents a method for constructing n-stage Galois NLFSRs with period 2n − 1 from n-stage maximum length LFSRs. We introduce nonlinearity into state cycles by adding a ...
Elena Dubrova
ICANN
2007
Springer
15 years 3 months ago
Neural Network Approach for Mass Spectrometry Prediction by Peptide Prototyping
In todays bioinformatics, Mass spectrometry (MS) is the key technique for the identification of proteins. A prediction of spectrum peak intensities from pre computed molecular feat...
Alexandra Scherbart, Wiebke Timm, Sebastian Bö...
AUTOMATICA
2005
103views more  AUTOMATICA 2005»
14 years 11 months ago
Periodic signal analysis by maximum likelihood modeling of orbits of nonlinear ODEs
This paper treats a new approach to the problem of periodic signal estimation. The idea is to model the periodic signal as a function of the state of a second-order nonlinear ordi...
Torsten Söderström, Torbjörn Wigren...
ICMCS
2005
IEEE
132views Multimedia» more  ICMCS 2005»
15 years 4 months ago
Non-linear image enhancement for digital TV applications using Gabor filters
We propose a non-linear image enhancement method based on Gabor filters, which allows selective enhancement based on the contrast sensitivity function of the human visual system. ...
Yue Yang, Baoxin Li