2003
DOI: 10.1007/3-540-44989-2_4
|View full text |Cite
|
Sign up to set email alerts
|

Independent Component Analysis Minimizing Convex Divergence

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
9
0

Year Published

2008
2008
2014
2014

Publication Types

Select...
5
1

Relationship

1
5

Authors

Journals

citations
Cited by 10 publications
(9 citation statements)
references
References 8 publications
0
9
0
Order By: Relevance
“…The use of a momentum term appears in various iterative methods. The FastICA is not JSIP an exception, since acceleration methods for the natural gradient ICA have already been presented [3][4][5] based upon the idea of surrogate optimization of the likelihood ratio [10]. In fact, the RapidICA presented in this paper is an embodiment of the momentum term of the α-ICA applied to the fixed-point ICA expressed by the additive form (19).…”
Section: Total Algorithm: the Rapidicamentioning
confidence: 99%
See 4 more Smart Citations
“…The use of a momentum term appears in various iterative methods. The FastICA is not JSIP an exception, since acceleration methods for the natural gradient ICA have already been presented [3][4][5] based upon the idea of surrogate optimization of the likelihood ratio [10]. In fact, the RapidICA presented in this paper is an embodiment of the momentum term of the α-ICA applied to the fixed-point ICA expressed by the additive form (19).…”
Section: Total Algorithm: the Rapidicamentioning
confidence: 99%
“…Independent component analysis (ICA) [1] is a typical example of such an algorithm. Among the various ICA methods, the FastICA, which is a fixed-point algorithm [2], is the most popular one because it usually out-performs the fastest version of the gradient-style algorithms [3][4][5]. However, the need for ever faster ICAs has arisen ubiquitously [6,7].…”
Section: Introductionmentioning
confidence: 99%
See 3 more Smart Citations