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ICASSP
2009
IEEE
15 years 10 months ago
Incremental predictive and adaptive noise compensation
Model compensation schemes are a powerful approach to handling mismatches between training and testing conditions. Normally these schemes are run in a batch adaptation mode, re-re...
Federico Flego, Mark J. F. Gales
ICASSP
2008
IEEE
15 years 10 months ago
Matrix-based linear predictive compression of multi-channel surface emg signals
We propose a linear predictive coding technique for multichannel electromyographic (EMG) recordings. The signals are acquired using two-dimensional grid of electrodes which genera...
Elias S. G. Carotti, Juan Carlos De Martin, Robert...
125
Voted
ICDM
2008
IEEE
120views Data Mining» more  ICDM 2008»
15 years 10 months ago
Prediction of Skin Penetration Using Machine Learning Methods
Improving predictions of the skin permeability coefficient is a difficult problem. It is also an important issue with the increasing use of skin patches as a means of drug deliv...
Yi Sun, Gary P. Moss, Maria Prapopoulou, Rod Adams...
ICIP
1997
IEEE
15 years 8 months ago
Zerotree Wavelet Coding Using Fractal Prediction
Fractal image coding can be seen as spectral prediction of coefficients in the wavelet decomposition of an image. Fine scale coefficients are described by shifted and scaled coeff...
Kai Uwe Barthel, S. Brandau, W. Hermesmeier, Guido...
BIOSURVEILLANCE
2008
Springer
15 years 6 months ago
Dynamic Network Model for Predicting Occurrences of Salmonella at Food Facilities
Salmonella is among the most common food borne illnesses which may result from consumption of contaminated products. In this paper we model the co-occurrence data between USDA-cont...
Purnamrita Sarkar, Lujie Chen, Artur Dubrawski