Application of Supervised Manifold Learning Algorithm SLLESVM in Image Retrieval
Deng Wen-xin · Microcomputer Information · 2009
In Content-Based Image Retrieval,the dimension reduction of high dimension eigenvector is a key technology,manifold learning algorithm LLE is an effective non-linear r dimension reduction method,and SVM has stronger generalization ability,this paper combined two methods,became a new supervised manifold learning algorithm SLLESVM,and applied it in the retrieval of image data,the experiments proved that the results are good.