From binary features to Non-Reducible Descriptors in supervised pattern recognition problems ?
Supervised pattern recognition problem in case of binary features is solved. The approach is based on machine learning of Non-Reducible Descriptors. Combinatorial and decision-tree computational procedures are presented. Binary feature selection and combining classifiers problems are discussed and solved. Applications for recognition of Arabic numerals and recognition of ECG are given.
non-reducible descriptors combining classifiers recognition of arabic numerals recognition of ecg machine learning of boolean formulas binary feature selection problem