Application of Questionnaire Theory to Pattern Recognition
Proceedings of the Second International Joint Conference on Artificial Intelligence. Pages 391-400.
Abstract
Analogies between Pattern Recognition and Statistical Communication Theory are pointed out. Wit:. the relative entropy between the "ideal attribute" and "heuristic attribute" sets as an index o!' performance, optimum selection of possible heuristic operators results in a recognition decision in probabilitty, with the smallest possible average number of tests during a "sequential analysis". On the other hand, a computer generation of q_:;.asi -optimal operators may be done based on n ' ..:r~e rical attributes using the same entropy index of performance. Experimental res:;.! t s are presented : Optimal operator choice is demonstrated for recognition of handwritten capital letter words and for vocoder speech recognition. Cccputer building of quasi-optimal operators is stcwn fer digitized images. They are limited to first level linear pumerical operators.
@inproceedings{ijcai1971p40,
title = {Application of Questionnaire Theory to Pattern Recognition},
author = {Simon, J. C. and Roche, C.},
booktitle = {Proceedings of the Second International Joint Conference on
Artificial Intelligence, {IJCAI-71}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {D.C. Cooper},
pages = {391--400},
year = {1971},
url = {https://ijcai.org/proceedings/1971/40},
}
TY - CPAPER TI - Application of Questionnaire Theory to Pattern Recognition AU - Simon, J. C. AU - Roche, C. T2 - Proceedings of the Second International Joint Conference on Artificial Intelligence, IJCAI-71 PB - International Joint Conferences on Artificial Intelligence PY - 1971 SP - 391 EP - 400 UR - https://ijcai.org/proceedings/1971/40 ER -Copied
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