Incremental learning of feature space and classifier for on-line pattern recognition

Seiichi Ozawa, Shaoning Pang, Nikola Kirilov Kasabov · International Journal of Knowledge-based and Intelligent Engineering Systems · 2006

In the previous work, we have proposed a new approach to pattern recognition tasks, in which not only a classifier but also a feature space is trained incrementally. To implement this idea, Incremental Principal Component Analysis (IPCA) and Evolving

Read the paper · More papers on PaperTik