Label propagation method for weak label data set

A label propagation and label data technology, applied in the field of label propagation of weak label data sets, to achieve the effect of improving the correct rate of assignment

Pending Publication Date: 2022-07-08
NAT UNIV OF DEFENSE TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The main purpose of the present invention is to provide a label propagation method for weak label data sets, aiming to solve the technical problem of improving the correct rate of label assignment in the absence of weak label data

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  • Label propagation method for weak label data set
  • Label propagation method for weak label data set
  • Label propagation method for weak label data set

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Embodiment Construction

[0049] It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0050] refer to figure 1 , figure 1 It is a schematic structural diagram of a label propagation device of a weak label data set of a hardware operating environment involved in the solution of the embodiment of the present invention.

[0051] like figure 1As shown, the label propagation device for the weak label dataset may include: a processor 1001 , such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002 , a user interface 1003 , a network interface 1004 , and a memory 1005 . Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interf...

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Abstract

The invention relates to the field of label propagation, and discloses a label propagation method for a weak label data set, which comprises the following steps: constructing a label propagation graph which comprises a label sample and a label-free sample, and the label sample and the label-free sample are connected through an undirected edge; obtaining category labels and labeled samples in the label propagation graph to construct a probability transfer matrix and a labeling matrix; when the labeled sample receives label information spread from an adjacent sample, filtering the label information to complement the label information of the labeled sample; spreading unmarked data by using the complemented label information; whether the label matrix converges is judged, if yes, label propagation is completed, an original label propagation algorithm is improved by adopting a feedback thought, missing label information of weak label data is filled, and the label distribution accuracy is improved.

Description

technical field [0001] This application relates to the field of label propagation, in particular to a label propagation method for weak label datasets. Background technique [0002] Studies have shown that in multi-label data, incomplete labels and label noise are very common. For example, for image samples in scene classification tasks, the labels are prone to noise and missing labels, such as a small number of labels describing useless information, and some labels being unlabeled. Usually, "weak label dataset" refers to a multi-label dataset with features such as incomplete labels and certain noise labels. In real-world large-scale data collection and manual labeling, weak labels are unavoidable. The weak label nature of the dataset reduces the algorithm performance of multi-label learning to a certain extent, and also affects its application in real life. [0003] Therefore, how to improve the accuracy of label assignment when weak label data is missing has become an u...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06V10/764
CPCG06F18/24143
Inventor 程光权冯旸赫周玉珍黄金才刘忠陈丽梁星星姚晨蝶
Owner NAT UNIV OF DEFENSE TECH
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