Self-adaptive hash method and device aiming at incomplete heterogeneous data

A heterogeneous data, self-adaptive technology, applied in the field of information retrieval, can solve problems such as missing samples, good retrieval performance, etc., achieve the effect of reducing inaccuracy, reducing information misleading, and improving retrieval effect

Inactive Publication Date: 2017-11-24
TSINGHUA UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in fact, each modality has the possibility of missing samples. Therefore, it is difficult for the hashing technology in related technologies to achieve better retrieval performance on incomplete heterogeneous data, which needs to be improved.

Method used

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  • Self-adaptive hash method and device aiming at incomplete heterogeneous data
  • Self-adaptive hash method and device aiming at incomplete heterogeneous data
  • Self-adaptive hash method and device aiming at incomplete heterogeneous data

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Embodiment Construction

[0023] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0024] The following describes the adaptive hash method and device for incomplete heterogeneous data according to the embodiments of the present invention with reference to the accompanying drawings. First, the adaptive hash method for incomplete heterogeneous data proposed according to the embodiments of the present invention will be described Greek method.

[0025] figure 1 It is a flowchart of an adaptive hashing method for incomplete heterogeneous data according to an embodiment of the present invention.

[0026] Such as f...

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Abstract

The invention discloses a self-adaptive hash method and device aiming at incomplete heterogeneous data. The method comprises the steps that when a heterogeneous data sample is lacked, each of multiple modes is subjected to bipartite graph construction, Markov random walk and probability transfer calculation, and adjacency information of the related lacked sample is estimated out; by studying a self-adaptive diagram, the adjacency information of each of the multiple modes are fused to obtain uniform adjacency information, and according to the uniform adjacency information, a uniform hash code is obtained through a hash technology. The hash method can effectively improve the information search performance of the hash technology, obtains the uniform hash code through study, accordingly improves the searching effect of the system, reduces unnecessary information misleading, and reduces inaccuracy and non-scientificity brought by manual set.

Description

technical field [0001] The invention relates to the technical field of information retrieval, in particular to an adaptive hash method and device for incomplete heterogeneous data. Background technique [0002] At present, it is a common application to use hash technology to perform information retrieval on heterogeneous data. In related technologies, all modalities of heterogeneous data are complete, and no samples are missing. But in fact, each modality has the possibility of missing samples. Therefore, the hashing technology in the related art is difficult to achieve better retrieval performance on incomplete heterogeneous data, and needs to be improved. Contents of the invention [0003] The present invention aims to solve one of the technical problems in the related art at least to a certain extent. [0004] Therefore, an object of the present invention is to propose an adaptive hashing method for incomplete heterogeneous data, which can improve the retrieval effect ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/9014
Inventor 朱文武郭君
Owner TSINGHUA UNIV
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