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WCE
2007
15 years 1 months ago
Building Time Series Forecasting Model By Independent Component Analysis Mechanism
—Building a time series forecasting model by independent component analysis mechanism presents in the paper. Different from using the time series directly with the traditional A...
Jin-Cherng Lin, Yung-Hsin Li, Cheng-Hsiung Liu
ICASSP
2008
IEEE
15 years 6 months ago
Adaptive score normalization for progressive model adaptation in text independent speaker verification
This paper deals with the interaction between progressive model adaptation and score normalization strategies which are used for reducing the variation in likelihood ratio scores ...
Shou-Chun Yin, Richard Rose, Patrick Kenny
IJON
2008
98views more  IJON 2008»
14 years 12 months ago
Factorisation and denoising of 0-1 data: A variational approach
Presence-absence (0-1) observations are special in that often the absence of evidence is not evidence of absence. Here we develop an independent factor model, which has the unique...
Ata Kabán, Ella Bingham
JMLR
2002
73views more  JMLR 2002»
14 years 11 months ago
Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components
We apply a variational method to automatically determine the number of mixtures of independent components in high-dimensional datasets, in which the sources may be nonsymmetricall...
Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski
SIGIR
2004
ACM
15 years 5 months ago
GaP: a factor model for discrete data
We present a probabilistic model for a document corpus that combines many of the desirable features of previous models. The model is called “GaP” for Gamma-Poisson, the distri...
John F. Canny