Genetic Programming for Multiclass Texture Classification Using a Small Number of Instances

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Title

Genetic Programming for Multiclass Texture Classification Using a Small Number of Instances

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Description

© Springer International Publishing Switzerland 2014. The task of image classification has been extensively studied due to its importance in a variety of domains such as computer vision and pattern recognition. Generally, the methods developed to perform this task require a large number of instances in order to build effective models. Moreover, the majority of those methods require human intervention to design and extract some good features. In this paper, we propose a Genetic Programming (GP...

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Other

Date created

27 Oct, 2020

Creator

Harith Al-Sahaf / Mengjie Zhang / M Johnston

URL

https://figshare.com/articles/conference_contribution/Genetic_Programming_for_Multiclass_Texture_...

Related subjects

Genetic Programming / Texture Classification / Multiclass / Science & Technology / Technology / Computer Science, Artificial Intelligence / Computer Science, Information Systems / Computer Science, Theory & Methods / Computer Science / OBJECT DETECTION / Artificial Intelligence & Image Processing / Uncategorized

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