{"title":"Schemes of Combining Discriminant Functions to Improve the Classification Accuracy for Ensemble of Data Sources","authors":"M. M. Lange, S. V. Paramonov","doi":"10.3103/s8756699023040052","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>Data classification accuracy is studied in terms of a relation between the error probability and the processed amount of information for different fusion schemes. The fusion schemes for weak discriminant functions are considered on an equimodal dataset and on an ensemble of data from multimodal sources. For the proposed fusion schemes, the error probability redundancy is estimated with respect to the information-theoretic lower bound in the form of a modified rate distortion function with the Hamming distortion metric. The experimental estimates obtained on the datasets of face and signature images demonstrate a decrease in the error probability and its redundancy with respect to the lower bound by increasing the processed amount of information due to the fusion of weak discriminant functions.</p>","PeriodicalId":44919,"journal":{"name":"Optoelectronics Instrumentation and Data Processing","volume":"1 1","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optoelectronics Instrumentation and Data Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3103/s8756699023040052","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Data classification accuracy is studied in terms of a relation between the error probability and the processed amount of information for different fusion schemes. The fusion schemes for weak discriminant functions are considered on an equimodal dataset and on an ensemble of data from multimodal sources. For the proposed fusion schemes, the error probability redundancy is estimated with respect to the information-theoretic lower bound in the form of a modified rate distortion function with the Hamming distortion metric. The experimental estimates obtained on the datasets of face and signature images demonstrate a decrease in the error probability and its redundancy with respect to the lower bound by increasing the processed amount of information due to the fusion of weak discriminant functions.
期刊介绍：
The scope of Optoelectronics, Instrumentation and Data Processing encompasses, but is not restricted to, the following areas: analysis and synthesis of signals and images; artificial intelligence methods; automated measurement systems; physicotechnical foundations of micro- and optoelectronics; optical information technologies; systems and components; modelling in physicotechnical research; laser physics applications; computer networks and data transmission systems. The journal publishes original papers, reviews, and short communications in order to provide the widest possible coverage of latest research and development in its chosen field.
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