An Image Classification Method based on Improved Active Learning and Semi-supervised Learning Algorithm

Author(s): Dan Luo*

Journal Name: Recent Advances in Electrical & Electronic Engineering
Formerly Recent Patents on Electrical & Electronic Engineering

Volume 11 , Issue 3 , 2018

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Graphical Abstract:


Background: It presents a kind of multi-class image classification algorithm which is combined with Best Versus Second Best (BVSB) active learning technology and improved self-training semi-supervised learning technology.

Methods: The algorithm integrates the advantages of active learning; semi-supervised learning and extreme learning machine simultaneously. It has better performance than that of single algorithm when it is used in different sets of image target recognition.

Results: In addition, it also discussed the influence of various parameters on the algorithm performance in the experimental parts, and made related analysis of semi-supervised learning algorithm based on SVM (Support Vector Machine); the experimental results verified the superiority of proposed algorithm.

Keywords: Improved active learning, semi-supervised learning algorithm, support vector machine, image classification method, Bayesian classifier, flexible neural tree.

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Article Details

Year: 2018
Published on: 31 July, 2018
Page: [348 - 358]
Pages: 11
DOI: 10.2174/2352096511666180116160240
Price: $25

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