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Data classification method, data classification device and storage medium

A technology of data classification and classification methods, which is applied in the direction of instruments, character and pattern recognition, computer parts, etc., and can solve problems such as lack of perfect consideration

Active Publication Date: 2018-06-01
MIGU CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the existing schemes do not fully consider how to make full use of limited labeled data and a large number of unlabeled images in multi-view to improve the performance of automatic image recognition.

Method used

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  • Data classification method, data classification device and storage medium
  • Data classification method, data classification device and storage medium
  • Data classification method, data classification device and storage medium

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Embodiment Construction

[0055] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0056] figure 1 It is a schematic flow chart of an information push method according to an embodiment of the present invention; figure 1 As shown, the method includes:

[0057] Step 101, obtaining the projection matrix corresponding to each view in the image database in the projection space;

[0058] In the embodiment of the present invention, the method is mainly applied to a device for data classification, and the device may be a data classifier, a data trainer, and the like.

[0059] Specifically, the device uses a multi-view semi-supervised feature extraction algorithm based on a semi-supervised learning method based on graph learning to perform sample tr...

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Abstract

The invention discloses a data classification method. The method comprises the following steps of acquiring a projection matrix corresponding to each view in an image database in the projection space;carrying out iterative calculation on a to-be-tested sample according to the projection matrix so as to obtain the sample characteristic data of the to-be-tested sample; carrying out data classification on the to-be-tested sample according to the sample characteristic data so as to obtain the classification information of the to-be-tested sample; and determining a class to which the to-be-testedsample belongs according to the classification information. The invention further discloses a data classification device and a storage medium.

Description

technical field [0001] The invention relates to data classification technology, in particular to a data classification method, device and storage medium. Background technique [0002] At present, the research and solution to the multi-view problem is most important to obtain the common space for feature selection in multi-view. The first method to be proposed is canonical correlation analysis and its extension to nonlinear kernelization. The canonical correlation analysis method is also the most typical method for studying two views. The method learns two transformations, both of which are obtained by maximizing the cross-correlation property between the two views. A transformation corresponds to a view, and the samples of each view are respectively projected into a common space learned. [0003] While another is proposed an improved face recognition method that can be used to deal with multi-pose, low-resolution and sketch problems. The method applies partial least squa...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/213G06F18/24133
Inventor 奚晓钰李琳周冰邓凯庭
Owner MIGU CO LTD