Visual shape recognition neural network using BESOM model

Hiroaki Hasegawa; Masafumi Hagiwara

doi:10.1007/978-3-642-15825-4_11

Visual shape recognition neural network using BESOM model

Hiroaki Hasegawa, Masafumi Hagiwara

情報工学科

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

In this paper, we propose a neural network recognizing visual shapes based on the BidirEctional SOM (BESOM) model. The proposed network has 4 features. First, the network is based on the BESOM model, which is a computational model of the cerebral cortex. Second, the Gabor filter, a model of a simple cell in the primary visual area, is used to calculate input features. Third, the network structure mimics the ventral visual pathway of the brain, which is said to recognize visual shapes. Finally, this is the first application of the BESOM model which is large-scale and multi-layer as far as we know. We conducted an experiment to assess the network and confirmed that it can recognize alphabets.

本文言語	English
ホスト出版物のタイトル	Artificial Neural Networks, ICANN 2010 - 20th International Conference, Proceedings
ページ	102-105
ページ数	4
版	PART 3
DOI	https://doi.org/10.1007/978-3-642-15825-4_11
出版ステータス	Published - 2010 11月 8
イベント	20th International Conference on Artificial Neural Networks, ICANN 2010 - Thessaloniki, Greece 継続期間: 2010 9月 15 → 2010 9月 18

出版物シリーズ

名前	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号	PART 3
巻	6354 LNCS
ISSN（印刷版）	0302-9743
ISSN（電子版）	1611-3349

Other

Other	20th International Conference on Artificial Neural Networks, ICANN 2010
国/地域	Greece
City	Thessaloniki
Period	10/9/15 → 10/9/18

ASJC Scopus subject areas

理論的コンピュータサイエンス
コンピュータサイエンス（全般）

文献へのアクセス

10.1007/978-3-642-15825-4_11

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引用スタイル

Hasegawa, H., & Hagiwara, M. (2010). Visual shape recognition neural network using BESOM model. In Artificial Neural Networks, ICANN 2010 - 20th International Conference, Proceedings (PART 3 ed., pp. 102-105). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6354 LNCS, No. PART 3). https://doi.org/10.1007/978-3-642-15825-4_11

Visual shape recognition neural network using BESOM model. / Hasegawa, Hiroaki; Hagiwara, Masafumi.

Artificial Neural Networks, ICANN 2010 - 20th International Conference, Proceedings. PART 3. ed. 2010. p. 102-105 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6354 LNCS, No. PART 3).

研究成果: Conference contribution

Hasegawa, H & Hagiwara, M 2010, Visual shape recognition neural network using BESOM model. in Artificial Neural Networks, ICANN 2010 - 20th International Conference, Proceedings. PART 3 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 3, vol. 6354 LNCS, pp. 102-105, 20th International Conference on Artificial Neural Networks, ICANN 2010, Thessaloniki, Greece, 10/9/15. https://doi.org/10.1007/978-3-642-15825-4_11

Hasegawa H, Hagiwara M. Visual shape recognition neural network using BESOM model. In Artificial Neural Networks, ICANN 2010 - 20th International Conference, Proceedings. PART 3 ed. 2010. p. 102-105. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3). https://doi.org/10.1007/978-3-642-15825-4_11

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Visual shape recognition neural network using BESOM model

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