期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：7
页码：33-42
DOI：10.14257/ijsip.2016.9.7.04
出版社：SERSC
摘要：Because of the large data in the image database, the key problem of the retrieval algorithm is to retrieve the required image in the short time. Aiming at this problem, this article given a self-learning deep belief neural network method, and through building layers, input, output, and self-learning algorithm in network architecture to get global algorithm for image retrieval. The accuracy and the convergence of the proposed retrieval method are verified by experiments.
关键词：Deep Belief Network; Image Retrieval; Local Feature; Network ; Architecture
