Research in Optical Symbolic Tasks

Abstract

The research findings of the AFOSR Grant AFOSR-86-0196, Optical Symbolic Computing Tasks are summarized. The grant period was 1 June 1986 - 29 November 1989. Specifically, we have concentrated on the following topics: complexity studies for optical neural and digital systems, architecture and models for optical computing, learning algorithms for neural networks and applications of neural networks for early vision problems such as image restoration, texture segmentation, computation of optical flow and stero. A number of conference and journal papers reporting the research findings have been published. A list of publications and presentation is given at the end of the report along with a set or reprints.

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Document Details

Document Type
Technical Report
Publication Date
Nov 29, 1989
Accession Number
ADA228797

Entities

People

  • Keith Jenkins

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Automata Theory
  • Computational Science
  • Computer Architecture
  • Computer Programming
  • Computer Vision
  • Data Processing
  • Image Processing
  • Information Science
  • Mesh Networks
  • Neural Networks
  • Parallel Computing
  • Processing Equipment
  • Self Organizing Systems
  • Signal Processing
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Neural Network Machine Learning.
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks