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Generalization endows search engines with pattern recognition capabilities
Author(s): Alexei Mikhailov; Mikhail Karavay
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Paper Abstract

Inverted files emerged in computer science as information indexing tools for large-scale search applications. After decades of computing, only one general method has been found able to deal quickly and efficiently with vast amounts of data. That is indexing, which is at the heart of both Google search and large scale DNA processing. However, indexing-based pattern recognition is virtually non-existent. The paper provides a mathematical framework that unifies search and pattern recognition algorithms.

Paper Details

Date Published: 29 October 2018
PDF: 5 pages
Proc. SPIE 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence, 108361L (29 October 2018); doi: 10.1117/12.2513939
Show Author Affiliations
Alexei Mikhailov, Institute of Control Sciences (Russian Federation)
Mikhail Karavay, Institute of Control Sciences (Russian Federation)


Published in SPIE Proceedings Vol. 10836:
2018 International Conference on Image and Video Processing, and Artificial Intelligence
Ruidan Su, Editor(s)

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