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» Predicting non-stationary processes
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ICASSP
2010
IEEE
13 years 6 months ago
NMF with time-frequency activations to model non stationary audio events
Real world sounds often exhibit non-stationary spectral characteristics such as those produced by a harpsichord or a guitar. The classical Non-negative Matrix Factorization (NMF) ...
Romain Hennequin, Roland Badeau, Bertrand David
VTC
2008
IEEE
104views Communications» more  VTC 2008»
14 years 11 days ago
A Stochastic Model for Non-Stationary Outdoor K-Factor Variation
— A dense urban cellular environment contains many different locations where a line-of-sight or specular signal component from the base station is present. The small scale fading...
Geoffrey G. Messier, Jennifer Hartwell
JMLR
2010
140views more  JMLR 2010»
13 years 24 days ago
Learning Non-Stationary Dynamic Bayesian Networks
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
Joshua W. Robinson, Alexander J. Hartemink
IADIS
2008
13 years 7 months ago
Data Mining In Non-Stationary Multidimensional Time Series Using A Rule Similarity Measure
Time series analysis is a wide area of knowledge that studies processes in their evolution. The classical research in the area tends to find global laws underlying the behaviour o...
Nikolay V. Filipenkov
ICANN
1997
Springer
13 years 10 months ago
Spatio-Temporal Pattern Recognition with Neural Networks: Application to Speech
The processing or the recognition of non stationary process with neural networks is a challenging and yet unsolved issue. The paper discuss the general pattern recognition framewor...
Jean Rouat