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CVPR
1999
IEEE
14 years 9 months ago
Separating Reflections and Lighting Using Independent Components Analysis
The image of an object can vary dramatically depending on lighting, specularities/reflections and shadows. It is often advantageous to separate these incidental variations from th...
Hany Farid, Edward H. Adelson
ESANN
2004
13 years 8 months ago
Separability of analytic postnonlinear blind source separation with bounded sources
The aim of blind source separation (BSS) is to transform a mixed random vector such that the original sources are recovered. If the sources are assumed to be statistically independ...
Fabian J. Theis, Peter Gruber
ICIP
2010
IEEE
13 years 4 months ago
Multi-spectral image analysis for skin pigmentation classification
In this paper, we compare two different approaches for semiautomatic detection of skin hyper-pigmentation on multispectral images. These two methods are support vector machine (SV...
Sylvain Prigent, Xavier Descombes, Didier Zugaj, P...
IDEAL
2000
Springer
13 years 10 months ago
Applying Independent Component Analysis to Factor Model in Finance
Factor model is a very useful and popular model in finance. In this paper, we show the relation between factor model and blind source separation, and we propose to use Independent ...
Siu-Ming Cha, Lai-Wan Chan
SPEECH
2011
13 years 1 months ago
A multistage approach to blind separation of convolutive speech mixtures
We propose a novel algorithm for the separation of convolutive speech mixtures using two-microphone recordings, based on the combination of independent component analysis (ICA) an...
Tariqullah Jan, Wenwu Wang, DeLiang Wang