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75
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PR
2006
95views more  PR 2006»
14 years 9 months ago
Subspace independent component analysis using vector kurtosis
This discussion presents a new perspective of subspace independent component analysis (ICA). The notion of a function of cumulants (kurtosis) is generalized to vector kurtosis. Th...
Alok Sharma, Kuldip K. Paliwal
106
Voted
ICASSP
2011
IEEE
14 years 1 months ago
A novel vector quantization-based video summarization method using independent component analysis mixture model
In this paper, we present a new independent component analysis mixture vector quantization (ICAMVQ) method to summarize the video content. In particular, independent component ana...
Junfeng Jiang, Xiao-Ping Zhang
IDA
2009
Springer
14 years 7 months ago
Hierarchical Extraction of Independent Subspaces of Unknown Dimensions
Abstract. Independent Subspace Analysis (ISA) is an extension of Independent Component Analysis (ICA) that aims to linearly transform a random vector such as to render groups of it...
Peter Gruber, Harold W. Gutch, Fabian J. Theis
ICA
2007
Springer
14 years 11 months ago
Bayesian Estimation of Overcomplete Independent Feature Subspaces for Natural Images
In this paper, we propose a Bayesian estimation approach to extend independent subspace analysis (ISA) for an overcomplete representation without imposing the orthogonal constraint...
Libo Ma, Liqing Zhang
TNN
2008
102views more  TNN 2008»
14 years 9 months ago
A Class of Complex ICA Algorithms Based on the Kurtosis Cost Function
In this paper, we introduce a novel way of performing real-valued optimization in the complex domain. This framework enables a direct complex optimization technique when the cost f...
Hualiang Li, Tülay Adali