1994-07-26
1997-07-29
Hafiz, Tariq R.
395 51, 395 62, G06F 1700
Patent
active
056528299
ABSTRACT:
The invention discloses steps to compute a new contextual merit measure for feature variables based on a two-fold discovery. First, a feature variable does not exist by itself in distinguishing classes, and second, what is desired is to obtain its correlation to a class in the context of other feature variables. The invention specifies a merit measure that captures the contextual correlation implicitly.
REFERENCES:
patent: 4658429 (1987-04-01), Orita et al.
Winston, Patrick Henry. "Artificial Intelligence". Third Edition. Addison-Wesley. 1992.
Zhou, Xiao Jia, and Tharam S. Dillon. "A Statistical-Heuristic Feature Selection Criterion for Decision Tree Induction." IEEE Trans. on Pattern Analysis and Machine Intelligence. vol. 13, No. 8. Aug. 1991.
Fung, P.W., G. Grebbin, and Y. Attikiouzel. "Contextual Classification and Segmentation of Textured Images." ICASSP '90: Acoustics, Speech & Signal Processing Conference. 1990.
Hafiz Tariq R.
International Business Machines - Corporation
Kaufman Stephen C.
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