International Journal of Applied Pattern Recognition

IJAPR presents original research on the theoretical, experimental and applied aspects of pattern analysis, extraction, classification and clustering. The journal focuses on areas such as feature selection, feature extraction, large data problems, online learning, classifiers and perception models. IJAPR acknowledges and encourages submissions reflecting the importance of large data analysis and online learning in industrial applications.

Publisher
Inderscience
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