Paper
21 January 1988 Parallel Algorithms For Classification And Clustering
George Cybenko, Thomas G. Allen
Author Affiliations +
Abstract
Parallel algorithms for high level signal processing functions common to tracking and data fusion are presented and stbdied. The algorithms are general techniques for clustering, partitioning and ennumeration and are applicable in a variety of situations. Parallel algorithms were implemented on a hypercube parallel computer and performance data is presented.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
George Cybenko and Thomas G. Allen "Parallel Algorithms For Classification And Clustering", Proc. SPIE 0826, Advanced Algorithms and Architectures for Signal Processing II, (21 January 1988); https://doi.org/10.1117/12.942023
Lens.org Logo
CITATIONS
Cited by 9 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Signal processing

Detection and tracking algorithms

Sensors

Data fusion

Parallel computing

Binary data

Computer science

RELATED CONTENT

Fusion of radar and EO sensors for surveillance
Proceedings of SPIE (August 16 2001)
Useful lifetime tracking via the IMM
Proceedings of SPIE (July 16 2002)
Data integration (fusion) tree paradigm
Proceedings of SPIE (August 25 1992)

Back to Top