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» Gaussian processes with monotonicity information
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ICASSP
2009
IEEE
13 years 5 months ago
Blind sparse source separation for unknown number of sources using Gaussian mixture model fitting with Dirichlet prior
In this paper, we propose a novel sparse source separation method that can be applied even if the number of sources is unknown. Recently, many sparse source separation approaches ...
Shoko Araki, Tomohiro Nakatani, Hiroshi Sawada, Sh...
IJON
2007
88views more  IJON 2007»
13 years 7 months ago
Information maximization in face processing
This perspective paper explores principles of unsupervised learning and how they relate to face recognition. Dependency coding and information maximization appear to be central pr...
Marian Stewart Bartlett
AVSS
2009
IEEE
14 years 2 months ago
Global Illumination Compensation for Background Subtraction Using Gaussian-Based Background Difference Modeling
This paper presents a background segmentation technique, which is able to process acceptable segmentation masks under fast global illumination changes. The histogram of the frame-...
Julien A. Vijverberg, Marijn J. H. Loomans, Cornel...
CORR
2010
Springer
67views Education» more  CORR 2010»
13 years 5 months ago
Secret Sharing LDPC Codes for the Constrained Gaussian Wiretap Channel
The problem of secret sharing over the Gaussian wiretap channel is considered. A source and a destination intend to share secret information over a Gaussian channel in the presenc...
Chan Wong Wong, Tan F. Wong, John M. Shea
TIT
2008
95views more  TIT 2008»
13 years 7 months ago
Mutual Information and Conditional Mean Estimation in Poisson Channels
Abstract--Following the discovery of a fundamental connection between information measures and estimation measures in Gaussian channels, this paper explores the counterpart of thos...
Dongning Guo, Shlomo Shamai, Sergio Verdú