Automatic determination of report granularity

Data processing: artificial intelligence – Miscellaneous

Patent

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Details

702 38, 382103, 382141, G06F 1500

Patent

active

061157023

ABSTRACT:
The present invention provides a method of performing statistical classification that can resolve conflict in independent sources of information, thereby creating a robust statistical classifier that has superior performance to classifiers currently available. Additionally, the present invention is automatically trainable, yielding improved classification performance. The present invention may be embodied in a method of statistically classifying events or objects, including the steps of gathering sets of information representative of features of an object or event; creating basic probability assignments based on said sets of information; determining a coarse information set from said sets of information; performing coarsening on said sets of information; performing linear superposition on each feature; and combining all features to reach a conclusion.

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Recognition of speaker-dependent continuous speech with KEAL; Mercier, G.; Bigorgne, D.; Miclet, L.; Le Guennec, L.; Querre, M.; Communications, Speech and Vision, IEE Proceedings I [see also; IEE Proceedings-Communications]; vol.: 136 2, Apr. 1989.
Contextual classification and segmentation of textured images; Fung, P.W., Grebbin, G.; Attikiouzel, Y.; Acoustics, Speech, and Signal Processing, 1990. ICASSP-90.,; 1990 International Conference on, 1990, pp.: 2329-2332; vol. 4.

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