555 search results - page 50 / 111 » Introduction to Statistical Signal Processing |
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
This paper presents a Named Entity Recognition (NER) method dedicated to process speech transcriptions. The main principle behind this method is to collect in an unsupervised way ...
ICIP
2001
IEEE
14 years 12 months ago
2001
IEEE
Gauss mixtures have gained popularity in statistics and statistical signal processing applications for a variety of reasons, including their ability to well approximatea large cla...
ICA
2007
Springer
14 years 2 months ago
2007
Springer
In modelling nonstationary sources, one possible strategy is to define a latent process of strictly positive variables to model variations in second order statistics of the underly...
EAAI
2006
13 years 10 months ago
2006
This contribution describes a neural network that self-organizes to recover the underlying original sources from typical sensor signals. No particular information is required abou...
ICASSP
2011
IEEE
13 years 2 months ago
2011
IEEE
The statistical footprint left by JPEG compression can be a valuable source of information for the forensic analyst. Recently, it has been shown that a suitable anti-forensic meth...