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» Multilinear Independent Components Analysis
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IJCNN
2000
IEEE
15 years 4 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
110
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ECCV
2002
Springer
16 years 1 months ago
Statistical Modeling of Texture Sketch
Recent results on sparse coding and independent component analysis suggest that human vision first represents a visual image by a linear superposition of a relatively small number ...
Ying Nian Wu, Song Chun Zhu, Cheng-en Guo
ICPR
2006
IEEE
16 years 28 days ago
ICA-Based Clustering for Resolving Permutation Ambiguity in Frequency-Domain Convolutive Source Separation
Permutation ambiguity is an inherent limitation in independent component analysis, which is a bottleneck in frequency-domain methods of convolutive source separation. In this pape...
Minje Kim, Seungjin Choi
ICASSP
2008
IEEE
15 years 6 months ago
On quantifying the effects of noncircularity on the complex fastica algorithm
The complex fast independent component analysis (c-FastICA) algorithm is one of the most popular methods for solving the ICA problem with complex-valued data. In this study, we ex...
Mike Novey, Tülay Adali
CSREAESA
2006
15 years 1 months ago
Towards Efficient Development of Embedded Real-Time Systems, the Component Based Approach
We present our joint view for efficient development of efficient and dependable ERTS (Embedded Real-Time Systems). This view is based on the three main viewpoints of (1) the softw...
Jukka Mäki-Turja, Mikael Nolin, Kaj Hänn...