Cross-modal retrieval method and device based on hash algorithm and neighborhood graph

The invention discloses a cross-modal retrieval method and device based on a hash algorithm and a neighborhood graph, and the method comprises the steps: obtaining a multi-modal original sample, minimizing a residual value obtained before and after feature transformation of the multi-modal original...

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Hauptverfasser: ZHU CHUNRONG, JIANG SHIBAO, DU CUIFENG, SUN GUANGBO
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creator ZHU CHUNRONG
JIANG SHIBAO
DU CUIFENG
SUN GUANGBO
description The invention discloses a cross-modal retrieval method and device based on a hash algorithm and a neighborhood graph, and the method comprises the steps: obtaining a multi-modal original sample, minimizing a residual value obtained before and after feature transformation of the multi-modal original sample to acquire a minimized residual value; learning potential association among the multi-modal original samples according to a collaborative matrix decomposition method, and calculating according to the potential association to obtain semantic consistency among modals of the multi-modal originalsamples; adopting popular learning of a neighborhood graph to calculate and obtain semantic consistency in modals of the multi-modal original sample; and minimizing the residual value, the semantic consistency between the modals and the semantic consistency in the modals, and combining regularization calculation avoiding overfitting to obtain an objective function. According to the embodiment ofthe invention, the target
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subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
HANDLING RECORD CARRIERS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
title Cross-modal retrieval method and device based on hash algorithm and neighborhood graph
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