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.
Oranges and lemons: Spot the difference
A computer recognition system that is 99% accurate can identify different fruits and vegetables, even the particular strain of apples or plums, for instance. Research to be published in the International Journal of Applied ...
Mar 07, 2013 in Computer Sciences