A new paradigm for the comparison of size functions is presented; it stresses the relevance of the "angular points" of the functions, and gives greater value to the stable ones. A simple example of classification of monograms (88 elements in the training set, 88 in the test set, for 22 classes, with a hit rate of 78%) is given, and a current enhancement of the experiment is described.

Ferri M., Frosini P., Lovato A., Zambelli C. (1997). Point selection: A new comparison scheme for size functions (with an application to monogram recognition). Springer Verlag [10.1007/3-540-63930-6_138].

Point selection: A new comparison scheme for size functions (with an application to monogram recognition)

Frosini P.;
1997

Abstract

A new paradigm for the comparison of size functions is presented; it stresses the relevance of the "angular points" of the functions, and gives greater value to the stable ones. A simple example of classification of monograms (88 elements in the training set, 88 in the test set, for 22 classes, with a hit rate of 78%) is given, and a current enhancement of the experiment is described.
1997
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
329
337
Ferri M., Frosini P., Lovato A., Zambelli C. (1997). Point selection: A new comparison scheme for size functions (with an application to monogram recognition). Springer Verlag [10.1007/3-540-63930-6_138].
Ferri M.; Frosini P.; Lovato A.; Zambelli C.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/913839
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