Title:
作成装置、作成プログラム、および作成方法
Document Type and Number:
Japanese Patent JP6535134
Kind Code:
B2
Abstract:
To create a classifier whose classification accuracy is maintained in consideration of temporal changes in a generation distribution of a sample and a new feature that has not appeared in learning data, a classifier is created in which a feature correlation learning unit learns a correlation between a feature of a sample of labeled learning data, and a feature appearing only in a sample of unlabeled learning data, and a classifier creating unit adds the feature appearing only in the sample of the unlabeled learning data to the feature of the sample of the labeled learning data by using the correlation, and outputs a label associated with an input sample by using the sample of the labeled learning data to which the feature appearing only in the sample of the unlabeled learning data is added.
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Inventors:
Kumagai Mitsutoshi
Tomoharu Iwata
Tomoharu Iwata
Application Number:
JP2018514508A
Publication Date:
June 26, 2019
Filing Date:
April 17, 2017
Export Citation:
Assignee:
Nippon Telegraph and Telephone Corporation
International Classes:
G06N20/00
Domestic Patent References:
| JP2011145951A | ||||
| JP201139575A |
Foreign References:
| US20130254153 |
Other References:
塚田 真規, 外2名,歪んだ文字の認識と自動ラベル付け,電子情報通信学会技術研究報告,日本,社団法人電子情報通信学会,2011年11月17日,Vol.111, No.317,p.93-98,ISSN 0913-5685, 3. Self-Corrective Recognition Algorithm
Attorney, Agent or Firm:
Sakai International Patent Office