Semi-supervised learning by search of optimal target vector

Optimizing support vector machine learni

Optimizing support vector machine learning for semi-arid vegetation mapping by using clustering analysis

✍ Lihong Su 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 995 KB

In remote sensing communities, support vector machine (SVM) learning has recently received increasing attention. SVM learning usually requires large memory and enormous amounts of computation time on large training sets. According to SVM algorithms, the SVM classification decision function is fully