Adaptive Least-Squares Support Vector Machine and its Combined Learning-Selflearning in Image Recognition Task-Reference-Cited by-同舟云学术

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Adaptive Least-Squares Support Vector Machine and its Combined Learning-Selflearning in Image Recognition Task

Published:2022-11-10 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)
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Author:

Bodyanskiy Yevgeniy¹,Popov Sergiy²,Brodetskyi Filip³,Chala Olha⁴

Affiliation:

1. Institute of Theological Studies of Our Lady of Immaculate Conception,Gorodok,Khemlnytska obl,Ukraine

2. Kharkiv National University of Radio Electronics,Control Systems Research Laboratory,Kharkiv,Ukraine

3. Kharkiv National University of Radio Electronics,Department of Informatics,Kharkiv,Ukraine

4. Kharkiv National University of Radio Electronics,Artificial Intelligence Department,Kharkiv,Ukraine

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10000061/10000064/10000518.pdf?arnumber=10000518

Reference24 articles.

1. Probabilistic neuro-fuzzy system in medical diagnostic task and its lazy learning-selflearning;bodyanskiy;CEUR Workshop Proceedings,2020

2. Revisiting a kNN-Based Image Classification System with High-Capacity Storage

3. Studies in Linear and Nonlinear Programming;arrow,1958

4. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

5. Self-Organizing Maps

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