Pattern-Recognition Tools and Their Applications

Authors

Panov A. Khachumov V. Khachumov M. Kovalyov A.

Annotation

This paper represents a summary of studies done by the Russian Artificial Intelligence Research Institute of the Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, in the area of pattern recognition for various applications. They are based on the general recognition problem statement by Yu.I. Zhuravlev combined with various models, metrics, and solution methods. Invariant moments, stable cognitive images, image spectra, and other features have been used as informative parameters. Multimodal problem solving that relies on simultaneous use of text query and image analysis is considered. A model is proposed, which combines the semiotic approach represented by a sign-based world model with vector symbolic architectures. Specific examples are used to demonstrate the effectiveness of the proposed approaches and recognition methods

External links

DOI: 10.1134/S1054661823010029

Publications at the Laboratory of Intelligent Management of the Ailamazyan Program Systems Institute of Russian Academy of Sciences: https://icontrol.psiras.ru/publications

ResearchGate: https://www.researchgate.net/publication/370878739_Pattern-Recognition_Tools_and_Their_Applications

Reference link

Khachumov M. V., Khachumov V. M., Kovalev A. K., Panov A. I. Pattern-Recognition Tools and Their Applications // Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications, No.1, vol.33, 2023, pp. 28-38.