Neural Networks for Signal Processing 5. Proceedings of the 1995 IEEE Workshop (5th) Held in Cambridge, MA on 31 Aug-2 Sep 95.

Abstract

This book contains refereed papers presented at the Fifth IEEE NVorkshop on Neural Networks for Signal Processing (NNSP'95) at the Royal Sonesta Hotel Cambridge MA on August 31st - September 2nd 1995. NNSP'95 was sponsored hy the Neural Networks Technical Committee of the IEEE Signal Processing Society in cooperation with the IEEE Neural Network Council and with co-sponsorship from ONRIARPA and NSF (through CIlCE the Center for Biological and Computational Learning at MIT). The Workshop is designed to serve as a regular forum for researchers from universities and industry who are interested in interdisciplinary research on neural networks for signal processing applications. NNSP '95 offers a showcase for current research results in key areas including learning algorithms, network architectures, speech processing, image processing, computer vision, adaptive signal processing, medical signal processing, digital communications and other applications.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1995
Accession Number
ADA302843

Entities

People

  • Elias Manolakos
  • Elizabeth Wilson
  • Federico Girosi
  • John Makhoul

Organizations

  • Institute of Electrical and Electronics Engineers

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Ground and Sea Platforms
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Bayesian Networks
  • Cognitive Science
  • Computational Science
  • Computer Vision
  • Databases
  • Dimensionality Reduction
  • Health Services
  • Information Processing
  • Information Science
  • Machine Learning
  • Mathematical Filters
  • Medical Personnel
  • Network Science
  • Neural Networks
  • Self Organizing Systems

Readers

  • Academic Conference Management
  • Allergy and Immunology.
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks