Evgeny Myasnikov

Orcid: 0000-0002-7547-410X

According to our database1, Evgeny Myasnikov authored at least 18 papers between 2015 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
A Framework for Feature Fusion with Application to Hyperspectral Images.
Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

2021
Nearest Neighbor Search In Hyperspectral Data Using Binary Space Partitioning Trees.
Proceedings of the 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2021

Data Dimensionality Reduction Technique Based on Preservation of Hellinger Divergence.
Proceedings of the Analysis of Images, Social Networks and Texts, 2021

Development of a Method for Iris-Based Person Recognition Using Convolutional Neural Networks.
Proceedings of the Analysis of Images, Social Networks and Texts, 2021

2020
Evaluation of Spectral Similarity Measures and Dimensionality Reduction Techniques for Hyperspectral Images.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Ad Lingua: Text Classification Improves Symbolism Prediction in Image Advertisements.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Dimensionality reduction of hyperspectral images based on the linear mixture model and dimensionality estimation.
Proceedings of the Twelfth International Conference on Machine Vision, 2019

Estimation of Non-radial Geometric Distortions for Dash Cams.
Proceedings of the Analysis of Images, Social Networks and Texts, 2019

2018
Embedding Spatial Context into Spectral Angle Based Nonlinear Mapping for Hyperspectral Image Analysis.
Proceedings of the Computer Vision and Graphics - International Conference, 2018

Comparative Analysis of Classification Methods for Human Identification by gait.
Proceedings of the Supplementary Proceedings of the Seventh International Conference on Analysis of Images, Social Networks and Texts (AIST 2018), Moscow, Russia, July 5, 2018

Evaluation of Nonlinear Dimensionality Reduction Techniques for Classification of Hyperspectral Images.
Proceedings of the Supplementary Proceedings of the Seventh International Conference on Analysis of Images, Social Networks and Texts (AIST 2018), Moscow, Russia, July 5, 2018

2017
Exploiting Spatial Context in Nonlinear Mapping of Hyperspectral Image Data.
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

Nonlinear Mapping Based on Spectral Angle Preserving Principle for Hyperspectral Image Analysis.
Proceedings of the Computer Analysis of Images and Patterns, 2017

Nonlinear Dimensionality Reduction of Hyperspectral Data Using Spectral Correlation as a Similarity Measure.
Proceedings of the Analysis of Images, Social Networks and Texts, 2017

2016
Fast techniques for nonlinear mapping of hyperspectral data.
Proceedings of the Ninth International Conference on Machine Vision, 2016

Evaluation of Stochastic Gradient Descent Methods for Nonlinear Mapping of Hyperspectral Data.
Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016

The Use of Interpolation Methods for Nonlinear Mapping.
Proceedings of the Computer Vision and Graphics - International Conference, 2016

2015
A Nonlinear Dimensionality Reduction Using Combined Approach to Feature Space Decomposition.
Proceedings of the Supplementary Proceedings of the 4th International Conference on Analysis of Images, 2015


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