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Pattern Analysis for Feature Extraction in Complex Images

Pattern Analysis for Feature Extraction in Complex Images

Balakumar Muniandi, Vinay Kumar Nassa, Digvijay Pandey, Binay Kumar Pandey, Pankaj Dadheech, A. Shaji George
Copyright: © 2024 |Pages: 23
ISBN13: 9798369319109|EISBN13: 9798369319116
DOI: 10.4018/979-8-3693-1910-9.ch007
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MLA

Muniandi, Balakumar, et al. "Pattern Analysis for Feature Extraction in Complex Images." Using Machine Learning to Detect Emotions and Predict Human Psychology, edited by Mritunjay Rai and Jay Kumar Pandey, IGI Global, 2024, pp. 145-167. https://doi.org/10.4018/979-8-3693-1910-9.ch007

APA

Muniandi, B., Nassa, V. K., Pandey, D., Pandey, B. K., Dadheech, P., & George, A. S. (2024). Pattern Analysis for Feature Extraction in Complex Images. In M. Rai & J. Pandey (Eds.), Using Machine Learning to Detect Emotions and Predict Human Psychology (pp. 145-167). IGI Global. https://doi.org/10.4018/979-8-3693-1910-9.ch007

Chicago

Muniandi, Balakumar, et al. "Pattern Analysis for Feature Extraction in Complex Images." In Using Machine Learning to Detect Emotions and Predict Human Psychology, edited by Mritunjay Rai and Jay Kumar Pandey, 145-167. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/979-8-3693-1910-9.ch007

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Abstract

A concept that has been shown to be valuable in one circumstance and is likely to be useful in others is known as a pattern. A pattern can be interpreted in a variety of ways, and each interpretation has its own particularizations that are suited to the particular form of the pattern it represents. The term “pattern” can be used to describe anything, like a group of items that function in tandem with one another. The analysis of these patterns is important in order to improve recognition. Finding patterns in data is the primary emphasis of the field of pattern analysis, which is a subfield of artificial intelligence and computer science that employs the usage of algorithms. In the context of a data stream, the term “pattern” refers to any underlying correlations, regularities, or structures. If it finds significant patterns in the data already stored, a system may be able to anticipate generating predictions based on fresh information arriving from a source that is analogous to the one it is currently using.

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