دورية أكاديمية

A Boosted 3-D PCA Algorithm Based on Efficient Analysis Method

التفاصيل البيبلوغرافية
العنوان: A Boosted 3-D PCA Algorithm Based on Efficient Analysis Method
المؤلفون: Kyung-Min Lee, Chi-Ho Lin
المصدر: Applied Sciences, Vol 11, Iss 16, p 7609 (2021)
بيانات النشر: MDPI AG, 2021.
سنة النشر: 2021
المجموعة: LCC:Technology
LCC:Engineering (General). Civil engineering (General)
LCC:Biology (General)
LCC:Physics
LCC:Chemistry
مصطلحات موضوعية: 3-D PCA, AdaBoost, image detection, performance, parallel, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
الوصف: In this paper, we propose a boosted 3-D PCA algorithm based on an efficient analysis method. The proposed method involves three steps that improve image detection. In the first step, the proposed method designs a new analysis method to solve the performance problem caused by data imbalance. In the second step, a parallel cross-validation structure is used to enhance the new analysis method further. We also design a modified AdaBoost algorithm to improve the detector accuracy performance of the new analysis method. In order to verify the performance of this system, we experimented with a benchmark dataset. The results show that the new analysis method is more efficient than other image detection methods.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2076-3417
Relation: https://www.mdpi.com/2076-3417/11/16/7609; https://doaj.org/toc/2076-3417
DOI: 10.3390/app11167609
URL الوصول: https://doaj.org/article/50264590f4694a48b61a4a6ac3c78990
رقم الأكسشن: edsdoj.50264590f4694a48b61a4a6ac3c78990
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20763417
DOI:10.3390/app11167609