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» Nonlinear functional regression: a functional RKHS approach
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AMC
2006
67views more  AMC 2006»
13 years 9 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»
12 years 9 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
14 years 1 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»
13 years 9 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»
14 years 3 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