✦ LIBER ✦

A new recurrent neural-network architecture for visual pattern recognition

✍ Scribed by Seong-Whan Lee, ; Hee-Heon Song

Book ID: 121286405
Publisher: IEEE
Year: 1997
Tongue: English
Weight: 317 KB
Volume: 8
Category: Article
ISSN: 1045-9227
DOI: 10.1109/72.557671

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A neural network model for selective att

A neural network model for selective attention in visual pattern recognition

✍ Fukushima, Kunihiko 📂 Article 📅 1986 🏛 Elsevier Science ⚖ 70 KB

A neural network capable of learning and

A neural network capable of learning and inference for visual pattern recognition

✍ Ho J Kim; Hyun S Yang 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 869 KB

[IEEE Proceedings of 13th International

[IEEE Proceedings of 13th International Conference on Pattern Recognition - Vienna, Austria (1996.08.29-1996.08.29)] Proceedings of 13th International Conference on Pattern Recognition - A new recurrent neural network architecture for pattern recognition

✍ Hee-Heon Song, ; Sun-Mee Kang, ; Seong-Whan Lee, 📂 Article 📅 1996 🏛 IEEE ⚖ 472 KB

A maximum overlap neural network for pat

A maximum overlap neural network for pattern recognition

✍ E. Domany; H. Orland 📂 Article 📅 1987 🏛 Elsevier Science 🌐 English ⚖ 194 KB

A neural network model for invariant pat

A neural network model for invariant pattern recognition

✍ Srinivasa, N.; Jouaneh, M. 📂 Article 📅 1992 🏛 IEEE 🌐 English ⚖ 425 KB

A hierarchical neural network architectu

A hierarchical neural network architecture for handwritten numeral recognition

✍ J. Cao; M. Ahmadi; M. Shridhar 📂 Article 📅 1997 🏛 Elsevier Science 🌐 English ⚖ 532 KB

This paper presents a hierarchical neural network architecture for recognition of handwritten numeral characters. In this new architecture, two separately trained neural networks connected in series, use the pixels of the numeral image as input and yield ten outputs, the largest of which identifies