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IJCNN
2000
IEEE
14 years 1 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
ECCV
2002
Springer
14 years 10 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
14 years 10 months 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
14 years 3 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
13 years 10 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...