Evgeny Myasnikov

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 18

Top Topics

Interpolation Method

Dimensionality Reduction

Top Venues

AIST (Supplement)

Publications

Valeriy Lobanov, Nikita Firsov, Evgeny Myasnikov, Roman Khabibullin, Artem Nikonorov
HyperKAN: Kolmogorov-Arnold Networks make Hyperspectral Image Classificators Smarter. CoRR (2024)
Evgeny Myasnikov
A Framework for Feature Fusion with Application to Hyperspectral Images. ICPR Workshops (2) (2022)
Evgeny Myasnikov
Data Dimensionality Reduction Technique Based on Preservation of Hellinger Divergence. AIST (2021)
Evgeny Myasnikov
Nearest Neighbor Search In Hyperspectral Data Using Binary Space Partitioning Trees. WHISPERS (2021)
Yulia Ganeeva, Evgeny Myasnikov
Development of a Method for Iris-Based Person Recognition Using Convolutional Neural Networks. AIST (2021)
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)
Evgeny Myasnikov
Evaluation of Spectral Similarity Measures and Dimensionality Reduction Techniques for Hyperspectral Images. ICPR Workshops (5) (2020)
Evgeny Myasnikov
Dimensionality reduction of hyperspectral images based on the linear mixture model and dimensionality estimation. ICMV (2019)
Evgeny Myasnikov
Estimation of Non-radial Geometric Distortions for Dash Cams. AIST (2019)
Evgeny Myasnikov
Evaluation of Nonlinear Dimensionality Reduction Techniques for Classification of Hyperspectral Images. AIST (Supplement) (2018)
Lubov Shiripova, Evgeny Myasnikov
Comparative Analysis of Classification Methods for Human Identification by gait. AIST (Supplement) (2018)
Evgeny Myasnikov
Embedding Spatial Context into Spectral Angle Based Nonlinear Mapping for Hyperspectral Image Analysis. ICCVG (2018)
Evgeny Myasnikov
Exploiting Spatial Context in Nonlinear Mapping of Hyperspectral Image Data. ICIAP (2) (2017)
Evgeny Myasnikov
Nonlinear Dimensionality Reduction of Hyperspectral Data Using Spectral Correlation as a Similarity Measure. AIST (2017)
Evgeny Myasnikov
Nonlinear Mapping Based on Spectral Angle Preserving Principle for Hyperspectral Image Analysis. CAIP (2) (2017)
Evgeny Myasnikov
Evaluation of Stochastic Gradient Descent Methods for Nonlinear Mapping of Hyperspectral Data. ICIAR (2016)
Evgeny Myasnikov
The Use of Interpolation Methods for Nonlinear Mapping. ICCVG (2016)
Evgeny Myasnikov
Fast techniques for nonlinear mapping of hyperspectral data. ICMV (2016)
Evgeny Myasnikov
A Nonlinear Dimensionality Reduction Using Combined Approach to Feature Space Decomposition. AIST (Supplement) (2015)