High-dimensional sparse image characterization method based on deep semi-supervised learning framework

The invention discloses a high-dimensional sparse image representation method based on a deep semi-supervised learning framework. The method comprises the following steps: 1) initializing a Semi-DRRBM model parameter theta; 2) obtaining features of a sample hidden layer; 3) using reconstructed visib...

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Bibliographic Details
Main Authors LIU SURUI, XIANG DAO, HU JIANGTAO, ZHOU TUNAN, XIAO YU, CHU JIELEI, SHAN JUNPENG, YOU ZEQING, YU HUA
Format Patent
LanguageChinese
English
Published 18.07.2023
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