A gaussian filter-based feature learning approach using genetic programming to image classification

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Title

A gaussian filter-based feature learning approach using genetic programming to image classification

Content partner

Victoria University of Wellington

Collection

Open Access Victoria University of Wellington

Description

© Springer Nature Switzerland AG 2018. To learn image features automatically from the problems being tackled is more effective for classification. However, it is very difficult due to image variations and the high dimensionality of image data. This paper proposes a new feature learning approach based on Gaussian filters and genetic programming (GauGP) for image classification. Genetic programming (GP) is a well-known evolutionary learning technique and has been applied to many visual tasks, s...

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Format

Research paper

Research format

Scholarly text / Conference item

Date created

2018

Creator

Ying Bi / Bing Xue / Mengjie Zhang

URL

https://figshare.com/articles/conference_contribution/A_gaussian_filter-based_feature_learning_ap...

Related subjects

Feature learning / Genetic programming / Image classification / Gaussian filter / Evolutionary computation / Feature extraction / Artificial Intelligence & Image Processing

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