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» Resampling methods for input modeling
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ICIP
2008
IEEE
14 years 7 months ago
Consistent and regularized magnification of images
Because more output data must be created than is available from the input, magnification is an ill-posed problem. Traditional magnification relies on resampling an interpolation mo...
Aurélien Bourquard, Katarina Balac, Michael...
BIOINFORMATICS
2005
109views more  BIOINFORMATICS 2005»
13 years 5 months ago
Prediction error estimation: a comparison of resampling methods
In genomic studies, thousands of features are collected on relatively few samples. One of the goals of these studies is to build classifiers to predict the outcome of future obser...
Annette M. Molinaro, Richard Simon, Ruth M. Pfeiff...
ICASSP
2008
IEEE
13 years 11 months ago
Approximation and resampling of tapped delay line channel models with guaranteed channel properties
In this paper, we present a novel framework for resampling and complexity reduction of tapped delay line channel models. In contrast to related algorithms in this field, our fram...
Christian Mehlführer, Markus Rupp
IVC
2002
148views more  IVC 2002»
13 years 4 months ago
Detecting lameness using 'Re-sampling Condensation' and 'multi-stream cyclic hidden Markov models'
A system for the tracking and classification of livestock movements is presented. The combined `tracker-classifier' scheme is based on a variant of Isard and Blakes `Condensa...
Derek R. Magee, Roger D. Boyle
ICASSP
2009
IEEE
13 years 12 months ago
Resampling auxiliary data for language model adaptation in machine translation for speech
Performance of n-gram language models depends to a large extent on the amount of training text material available for building the models and the degree to which this text matches...
Sameer Maskey, Abhinav Sethy