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ORCIDEvgeny Myasnikov
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2020 – today
- 2024
[i1]Valeriy Lobanov, Nikita Firsov, Evgeny Myasnikov, Roman Khabibullin, Artem Nikonorov:
HyperKAN: Kolmogorov-Arnold Networks make Hyperspectral Image Classificators Smarter. CoRR abs/2407.05278 (2024)- 2022
- [c18]Evgeny Myasnikov
:
A Framework for Feature Fusion with Application to Hyperspectral Images. ICPR Workshops (2) 2022: 509-518 - 2021
- [c17]Yulia Ganeeva, Evgeny Myasnikov:
Development of a Method for Iris-Based Person Recognition Using Convolutional Neural Networks. AIST 2021: 175-189 - [c16]Evgeny Myasnikov:
Data Dimensionality Reduction Technique Based on Preservation of Hellinger Divergence. AIST 2021: 190-198 - [c15]Evgeny Myasnikov:
Nearest Neighbor Search In Hyperspectral Data Using Binary Space Partitioning Trees. WHISPERS 2021: 1-4 - 2020
- [c14]Andrey V. Savchenko, Anton Alekseev, Sejeong Kwon, Elena Tutubalina, Evgeny Myasnikov, Sergey I. Nikolenko:
Ad Lingua: Text Classification Improves Symbolism Prediction in Image Advertisements. COLING 2020: 1886-1892 - [c13]Evgeny Myasnikov:
Evaluation of Spectral Similarity Measures and Dimensionality Reduction Techniques for Hyperspectral Images. ICPR Workshops (5) 2020: 289-300
2010 – 2019
- 2019
- [c12]Evgeny Myasnikov:
Estimation of Non-radial Geometric Distortions for Dash Cams. AIST 2019: 335-344 - [c11]Evgeny Myasnikov:
Dimensionality reduction of hyperspectral images based on the linear mixture model and dimensionality estimation. ICMV 2019: 114331L - 2018
- [c10]Lubov Shiripova, Evgeny Myasnikov:
Comparative Analysis of Classification Methods for Human Identification by gait. AIST (Supplement) 2018: 118-128 - [c9]Evgeny Myasnikov:
Evaluation of Nonlinear Dimensionality Reduction Techniques for Classification of Hyperspectral Images. AIST (Supplement) 2018: 147-154 - [c8]Evgeny Myasnikov:
Embedding Spatial Context into Spectral Angle Based Nonlinear Mapping for Hyperspectral Image Analysis. ICCVG 2018: 263-274 - 2017
- [c7]Evgeny Myasnikov:
Nonlinear Dimensionality Reduction of Hyperspectral Data Using Spectral Correlation as a Similarity Measure. AIST 2017: 237-244 - [c6]Evgeny Myasnikov:
Nonlinear Mapping Based on Spectral Angle Preserving Principle for Hyperspectral Image Analysis. CAIP (2) 2017: 416-427 - [c5]Evgeny Myasnikov:
Exploiting Spatial Context in Nonlinear Mapping of Hyperspectral Image Data. ICIAP (2) 2017: 180-190 - 2016
- [c4]Evgeny Myasnikov:
The Use of Interpolation Methods for Nonlinear Mapping. ICCVG 2016: 649-655 - [c3]Evgeny Myasnikov:
Evaluation of Stochastic Gradient Descent Methods for Nonlinear Mapping of Hyperspectral Data. ICIAR 2016: 276-283 - [c2]Evgeny Myasnikov:
Fast techniques for nonlinear mapping of hyperspectral data. ICMV 2016: 103411D - 2015
- [c1]Evgeny Myasnikov:
A Nonlinear Dimensionality Reduction Using Combined Approach to Feature Space Decomposition. AIST (Supplement) 2015: 85-95
Coauthor Index
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