Incremental exemplar learning schemes for classification on embedded devices

An incremental network for on-line unsup

An incremental network for on-line unsupervised classification and topology learning

✍ Shen Furao; Osamu Hasegawa 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 787 KB

This paper presents an on-line unsupervised learning mechanism for unlabeled data that are polluted by noise. Using a similarity threshold-based and a local error-based insertion criterion, the system is able to grow incrementally and to accommodate input patterns of on-line non-stationary data dist