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ICPR
2006
IEEE
15 years 10 months ago
Motion Dependent Spatiotemporal Smoothing for Noise Reduction in Very Dim Light Image Sequences
A new method for noise reduction using spatiotemporal smoothing is presented in this paper. The method is developed especially for reducing the noise that arises when acquiring vi...
Henrik Malm, Eric Warrant
RECOMB
2006
Springer
15 years 10 months ago
Improving Prediction of Zinc Binding Sites by Modeling the Linkage Between Residues Close in Sequence
Abstract. We describe and empirically evaluate machine learning methods for the prediction of zinc binding sites from protein sequences. We start by observing that a data set consi...
Sauro Menchetti, Andrea Passerini, Paolo Frasconi,...
VTC
2006
IEEE
15 years 3 months ago
On the Peak Factor of Sampled and Continuous Signals
Abstract: The peak factor of a continuous digitallymodulated signal is often analyzed from its samples taken at the Nyquist rate. This, however, may involve a significant error. It...
Sergey Loyka, François Gagnon
ACCV
2006
Springer
15 years 1 months ago
Double Regularized Bayesian Estimation for Blur Identification in Video Sequences
Blind blur identification in video sequences becomes more important. This paper presents a new method for identifying parameters of different blur kernels and image restoration in ...
Hongwei Zheng, Olaf Hellwich
AUSAI
2008
Springer
14 years 11 months ago
Propositionalisation of Profile Hidden Markov Models for Biological Sequence Analysis
Hidden Markov Models are a widely used generative model for analysing sequence data. A variant, Profile Hidden Markov Models are a special case used in Bioinformatics to represent,...
Stefan Mutter, Bernhard Pfahringer, Geoffrey Holme...