Classifier updating method

An update method and classifier technology, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problem of reducing the generalization performance of harmful image classifiers

Inactive Publication Date: 2015-09-30
INST OF AUTOMATION CHINESE ACAD OF SCI
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0004] However, at present, using all incremental misclassified samples to update the harmful image classifier may reduce the generalization performance of the harmful image classifier.

Method used

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Embodiment Construction

[0020] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0021] A classifier updating method provided by the present invention first collects misclassified training samples and incremental misclassified samples, then uses the basic misclassified sample set to collect all abnormal samples in the incremental misclassified sample set, and finally uses the abnormal sample set and Incremental machine learning to update the classifier. Because the present invention uses the basic misclassified sample set to screen the incremental misclassified sample set, it can avoid using some beneficial misclassified training samples for updating and reducing the generalization performance of the harmful image classifier.

[0022] figure 1 It is a flow chart of the harmful image classifier update...

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Abstract

The invention discloses a classifier updating method. The classifier updating method comprises the steps of firstly, collecting a wrongly-classified training sample and an incremental wrongly-classified sample; secondly, collecting all abnormal samples in an incremental wrongly-classified sample set by utilizing a basic wrongly-classified sample set; finally, updating a classifier by utilizing an abnormal sample set and the learning of an incremental machine. According to the classifier updating method disclosed by the invention, the incremental wrongly-classified sample set is screened by utilizing the basic wrongly-classified sample set, and thus the phenomenon that the generalization performance of a harmful image classifier is reduced as some helpful wrongly-classified training samples are used for updating can be avoided.

Description

technical field [0001] The invention relates to the field of computer application technology, in particular to a classifier updating method. Background technique [0002] Multimedia such as pictures, videos, and audios has gradually become one of the main ways that harmful (such as pornography, violence, etc.) information is spread on the Internet. Among these harmful information on the Internet, since pictures are relatively convenient to transmit, relatively easy to browse, and have low hardware requirements, the actual harm to young people may be the greatest. Social problems such as negative impact and crime caused by harmful picture information in the network have attracted more and more attention. How to automatically identify bad picture information in the network in a timely manner, and then take effective regulatory measures, has become a very urgent problem. [0003] For the identification of harmful images on the network, it is generally necessary to extract dif...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/2411
Inventor 吴偶胡卫明左海强祝守宇黄长波
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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