Neuro-algorithms for data compression with new generation computing

Yasuo Matsuyama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Summary form only given. The contribution of this study is fourfold: (i) The author's own variable region vector quantization, which is a neurocomputation paradigm of the nearest neighbor type, is presented. (ii) By considering this neurocomputation paradigm and others, the total system is implemented as an emulator. The system is made up of a hypercube back end and its host. The host uses GHC for communication and control of the hypercube. Thus, this system uses an extended GHC, including commands for the fine-grained data parallelism. Such an extended version is called *GHC. The total system is tentatively called Neuro Cube, version 0. (iii) The author's algorithm is coded by *GHC and is executed for digital image compression on the above emulator. It is observed that the implemented two-level parallelism is quite effective for digital neurocomputation. (iv) The vector quantization is effectively combined with the backpropagation layered network to achieve efficient color image compression.

Original languageEnglish
Title of host publicationIJCNN Int Jt Conf Neural Network
Editors Anon
Place of PublicationPiscataway, NJ, United States
PublisherPubl by IEEE
Pages597
Number of pages1
Publication statusPublished - 1989
Externally publishedYes
EventIJCNN International Joint Conference on Neural Networks - Washington, DC, USA
Duration: 1989 Jun 181989 Jun 22

Other

OtherIJCNN International Joint Conference on Neural Networks
CityWashington, DC, USA
Period89/6/1889/6/22

Fingerprint

Vector quantization
Data compression
Image compression
Backpropagation
Color
Communication

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Matsuyama, Y. (1989). Neuro-algorithms for data compression with new generation computing. In Anon (Ed.), IJCNN Int Jt Conf Neural Network (pp. 597). Piscataway, NJ, United States: Publ by IEEE.

Neuro-algorithms for data compression with new generation computing. / Matsuyama, Yasuo.

IJCNN Int Jt Conf Neural Network. ed. / Anon. Piscataway, NJ, United States : Publ by IEEE, 1989. p. 597.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Matsuyama, Y 1989, Neuro-algorithms for data compression with new generation computing. in Anon (ed.), IJCNN Int Jt Conf Neural Network. Publ by IEEE, Piscataway, NJ, United States, pp. 597, IJCNN International Joint Conference on Neural Networks, Washington, DC, USA, 89/6/18.
Matsuyama Y. Neuro-algorithms for data compression with new generation computing. In Anon, editor, IJCNN Int Jt Conf Neural Network. Piscataway, NJ, United States: Publ by IEEE. 1989. p. 597
Matsuyama, Yasuo. / Neuro-algorithms for data compression with new generation computing. IJCNN Int Jt Conf Neural Network. editor / Anon. Piscataway, NJ, United States : Publ by IEEE, 1989. pp. 597
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