Title :
Recent developments of the minimum entropy algorithm
Author :
Watanabe, Satosi ; Kaminuma, Tsuguchika
Author_Institution :
Hawaii Univ., HI, USA
Abstract :
This work has two purposes: it is a tutorial survey of methods based on the heuristic principle of entropy minimization; and it introduces a novel algorithm IMPAL, that makes possible to decide the class affiliation of a new arrival when multiclass paradigms are given in advance. Two examples are given to demonstrate the relevance of IMPAL
Keywords :
entropy; pattern recognition; IMPAL; class affiliation; entropy minimization; minimum entropy algorithm; pattern recognition; Concrete; Covariance matrix; Eigenvalues and eigenfunctions; Entropy; Feature extraction; Minimization methods; Pattern recognition; Polynomials; Probability distribution;
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
DOI :
10.1109/ICPR.1988.28285