Independent component analysis by convex divergence minimization: Applications to brain fMRI analysis

Y. Matsuyama; S. Imahara

Independent component analysis by convex divergence minimization: Applications to brain fMRI analysis

Y. Matsuyama^*, S. Imahara

^*この研究の対応する著者

研究成果: Conference contribution

1 被引用数 (Scopus)

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The f-ICA was derived from the minimization of the convex divergence. Software implementations showed remarkable speed as a gradient descent type. This was due to the effective use of past and/or future data.

本文言語	English
ホスト出版物のタイトル	Proceedings of the International Joint Conference on Neural Networks
ページ	412-417
ページ数	6
巻	1
出版ステータス	Published - 2001
イベント	International Joint Conference on Neural Networks (IJCNN'01) - Washington, DC 継続期間: 2001 7月 15 → 2001 7月 19

Other

Other	International Joint Conference on Neural Networks (IJCNN'01)
City	Washington, DC
Period	01/7/15 → 01/7/19

ASJC Scopus subject areas

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引用スタイル

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title = "Independent component analysis by convex divergence minimization: Applications to brain fMRI analysis",

abstract = "The f-ICA was derived from the minimization of the convex divergence. Software implementations showed remarkable speed as a gradient descent type. This was due to the effective use of past and/or future data.",

author = "Y. Matsuyama and S. Imahara",

year = "2001",

language = "English",

volume = "1",

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booktitle = "Proceedings of the International Joint Conference on Neural Networks",

note = "International Joint Conference on Neural Networks (IJCNN'01) ; Conference date: 15-07-2001 Through 19-07-2001",

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AU - Matsuyama, Y.

AU - Imahara, S.

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M3 - Conference contribution

AN - SCOPUS:0034844580

VL - 1

SP - 412

EP - 417

BT - Proceedings of the International Joint Conference on Neural Networks

Y2 - 15 July 2001 through 19 July 2001

ER -

Independent component analysis by convex divergence minimization: Applications to brain fMRI analysis

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