@inproceedings{f78b5bb7183b4204a64929fb98e7c450,
title = "An object recognition system using stochastic knowledge source and VLSI parallel architecture",
abstract = "The authors present a system for 2-D shape recognition using hidden Markov model (HMM) knowledge sources. The shape is represented by a sequence of curvature values. A ring hidden Markov model (RHMM), which incorporates a ring structure and local connectivity, is proposed. The approach solves both the context sensitivity problem and the pattern instantiation problem. Simulation results on aircraft indicate that the proposed system can achieve almost 100% recognition accuracy at a very fast learning speed. It is shown that the RHMM system can be efficiently implemented in a systolic array, permitting real-time processing.",
author = "Mao, {W. D.} and Kung, {S. Y.}",
year = "1990",
language = "English (US)",
isbn = "0818620625",
series = "Proceedings - International Conference on Pattern Recognition",
publisher = "Publ by IEEE",
pages = "832--836",
booktitle = "Proceedings - International Conference on Pattern Recognition",
note = "Proceedings of the 10th International Conference on Pattern Recognition ; Conference date: 16-06-1990 Through 21-06-1990",
}