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» Extracting Randomness Using Few Independent Sources
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ICIAP
2007
ACM
14 years 8 months ago
Natural scenes categorization by hierarchical extraction of typicality patterns
Natural scene categorization of images represents a very useful task for automatic image analysis systems in a wide variety of applications. In the literature, several methods hav...
Alessandro Perina, Marco Cristani, Vittorio Murino
ISCI
2007
138views more  ISCI 2007»
13 years 8 months ago
A fast algorithm for one-unit ICA-R
Independent component analysis (ICA) aims to recover a set of unknown mutually independent source signals from their observed mixtures without knowledge of the mixing coefficients...
Qiu-Hua Lin, Yong-Rui Zheng, Fuliang Yin, Hualou L...
ICIP
2006
IEEE
14 years 10 months ago
Joint Dimensionality Reduction, Classification and Segmentation of Hyperspectral Images
Dimensionality reduction, spectral classification and segmentation are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation appr...
Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpou...
CORR
2010
Springer
150views Education» more  CORR 2010»
13 years 8 months ago
On Generation of Firewall Log Status Reporter (SRr) Using Perl
Computer System Administration and Network Administration are few such areas where Practical Extraction Reporting Language (Perl) has robust utilization these days apart from Bioi...
Sugam Sharma, Hari Cohly, Tzusheng Pei
ESANN
2006
13 years 10 months ago
A simple idea to separate convolutive mixtures in an undetermined scenario
We consider a blind separation problem for undetermined mixtures of two BPSK signals in a multi-path fading channel. We use independence and frequency diversity of the two source s...
Maciej Pedzisz, Ali Mansour