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 引用（Scopus）

抜粋

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.

元の言語	English
ホスト出版物のタイトル	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ページ	102-105
ページ数	4
巻	6354 LNCS
エディション	PART 3
DOI	https://doi.org/10.1007/978-3-642-15825-4_11
出版物ステータス	Published - 2010
イベント	20th International Conference on Artificial Neural Networks, ICANN 2010 - Thessaloniki, Greece 継続期間: 2010 9 15 → 2010 9 18

出版物シリーズ

氏名	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（印刷物）	03029743
ISSN（電子版）	16113349

Other

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

フィンガープリント

ASJC Scopus subject areas

Computer Science(all)
Theoretical Computer Science

これを引用

Hasegawa, H., & Hagiwara, M. (2010). Visual shape recognition neural network using BESOM model. ： Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 3 版, 巻 6354 LNCS, pp. 102-105). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻 6354 LNCS, 番号 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.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 巻 6354 LNCS PART 3. 版 2010. p. 102-105 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻 6354 LNCS, 番号 PART 3).

研究成果: Conference contribution

Hasegawa, H & Hagiwara, M 2010, Visual shape recognition neural network using BESOM model. ： Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 3 Edn, 巻数 6354 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 番号 PART 3, 巻数 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. ： Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 3 版巻 6354 LNCS. 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

Hasegawa, Hiroaki ; Hagiwara, Masafumi. / Visual shape recognition neural network using BESOM model. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 巻 6354 LNCS PART 3. 版 2010. pp. 102-105 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).

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文献にアクセス

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