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ISMVL
2000
IEEE
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13 years 8 months ago
Properties of Independent Components of Self-Motion Optical Flow
In this paper we describe the properties of independent components of optical ow of moving objects. Video sequences of objects seen by an observer moving at various angles, direct...
Marwan A. Jabri, Ki-Young Park, Soo-Young Lee, Ter...
IJCNN
2000
IEEE
13 years 8 months ago
ICA for Noisy Neurobiological Data
ICA (Independent Component Analysis) is a new technique for analyzing multi-variant data. Lots of results are reported in the field of neurobiological data analysis such as EEG (...
Shiro Ikeda, Keisuke Toyama
ICANN
2003
Springer
13 years 9 months ago
Dimension Reduction Based on Orthogonality - A Decorrelation Method in ICA
In independent component analysis problems, when we use a one-unit objective function to iteratively estimate several independent components, the uncorrelatedness between the indep...
Kun Zhang, Lai-Wan Chan
ICA
2004
Springer
13 years 9 months ago
A Model for Analyzing Dependencies Between Two ICA Features in Natural Images
Abstract. In this paper we examine how the activation of one independent component analysis (ICA) feature changes first and second order statistics of other independent components...
Mika Inki
IWANN
2005
Springer
13 years 9 months ago
Robust Blind Image Watermarking with Independent Component Analysis: A Embedding Algorithm
Abstract. The authors propose a new solution to the blind robust watermarking of digital images. In this approach we embed the watermark into the independent components of the imag...
Juan José Murillo-Fuentes, Rafael Boloix-To...
IPPS
2006
IEEE
13 years 10 months ago
Parallel ICA methods for EEG neuroimaging
HiPerSAT, a C++ library and tools, processes EEG data sets with ICA (Independent Component Analysis) methods. HiPerSAT uses BLAS, LAPACK, MPI and OpenMP to achieve a high performa...
D. B. Keith, C. C. Hoge, Robert M. Frank, Allen D....
ICA
2007
Springer
13 years 10 months ago
Subspaces of Spatially Varying Independent Components in fMRI
Abstract. In contrast to the traditional hypothesis-driven methods, independent component analysis (ICA) is commonly used in functional magnetic resonance imaging (fMRI) studies to...
Jarkko Ylipaavalniemi, Ricardo Vigário
ICA
2007
Springer
13 years 10 months ago
Comparative Speed Analysis of FastICA
FastICA is arguably one of the most widespread methods for independent component analysis. We focus on its deflation-based implementation, where the independent components are ext...
Vicente Zarzoso, Pierre Comon
ICTAI
2007
IEEE
13 years 10 months ago
Facial Image Retrieval through Compound Queries Using Constrained Independent Component Analysis
In this work we present a new technique of facial-image retrieval using constrained independent component analysis (cICA). We have employed cICA for the online extraction of those...
Bilal Ahmed, Tahir Rasheed, Young-Koo Lee, Sungyou...
ICASSP
2009
IEEE
13 years 11 months ago
Independent component analysis for noisy speech recognition
Independent component analysis (ICA) is not only popular for blind source separation but also for unsupervised learning when the observations can be decomposed into some independe...
Hsin-Lung Hsieh, Jen-Tzung Chien, Koichi Shinoda, ...