Myasnikov, Evgeniy V.

2025

• 1 Konovalov V., Borisov A., Myasnikov E. Human Action Recognition from Motion Capture Data Using Machine Learning Techniques // Optical Memory and Neural Networks (Information Optics) 2025. — Vol. 34. Issue Suppl 3. № Suppl 3. — P. S402-S409
• 2 Myasnikov E. Generation of Compact Representations of Hyperspectral Images Using Neural Network and Spectral Features // Lecture Notes in Computer Science. — 2025. — Vol. 15616 LNCS. — P. 274-284
• 3 Myasnikov E. Human Action Recognition from Motion Capture Data based on Curve Matching // International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. — 2025. — Vol. 48. Issue 2/W9-2025. № 2/W9-2025. — P. 201-206

2014

• 1 Myasnikov E.V. Two Approaches to the Decomposition of the Feature Space for Non-Linear Dimensionality Reduction // 9-th Open German-Russian Workshop on Pattern Recognition and Image Understanding (OGRW 2014). — 2014. — P. 1-4
• 2 Myasnikov E.V. The choice of a method for feature space decomposition for non-linear dimensionality reduction // Computer Optics 2014. — Vol. 38. Issue 4. — P. 790-797

2007

• 1 Gashnikov M.V., Glumov N.I., Myasnikov E.V. etc. Software environment for simulating algorithms for image analysis and processing // Pattern Recognition and Image Analysis 2007. — Vol. 17. Issue 2. — P. 279-283

2008

• 1 Glumov N.I., Myasnikov E.V., Kopenkov V.N. etc. The method of fast correlation using ternary templates for object recognition on images // Computer Optics 2008. — Vol. 32. Issue 3. — P. 277-282
• 2 Myasnikov E.V. The study of dimensionality reduction methods in the task of browsing of digital image collections // Computer Optics 2008. — Vol. 32. Issue 3. — P. 296-301

2009

• 1 Glumov N.I., Koryakin A.V., Myasnikov E.V. etc. Program and research system for the recognition of individuals by photos of faces on documents // Pattern Recognition and Image Analysis 2009. — Vol. 19. Issue 1. — P. 43-47
• 2 Myasnikov E.V. Investigation of methods of estimating geometrical misalignment in face images // Pattern Recognition and Image Analysis 2009. — Vol. 19. Issue 1. — P. 176-180
• 3 Glumov N.I., Myasnikov E.V., Kopenkov V.N. etc. Fast correlation method with the use of a wide selection of template in problems of image analysis // Pattern Recognition and Image Analysis 2009. — Vol. 19. Issue 1. — P. 7-13

2010

• 1 MYaSNIKOV E. V. A nonlinear dimensionality reduction method with the use of support nodes for analysis of digital image collections // 10-th International Conference on Pattern Recognition and Image Analysis: New Information Technologies (PRIA-10-2009). — 2010. —

2011

• 1 Myasnikov E.V. Nonlinear Dimensionality Reduction Method with the Use of Reference Nodes for Analysis of Digital Image Collections // Pattern Recognition and Image Analysis 2011. — Vol. 21. Issue 2. — P. 312-315
• 2 Myasnikov V.V., Ivanov A.A., Gashnikov M.V. etc. Computer program for automatic estimation of digital image quality // Pattern Recognition and Image Analysis 2011. — Vol. 21. Issue 3. — P. 415-418

2012

• 1 Myasnikov E.V. A nonlinear method for dimensionality reduction of data using reference nodes // Pattern Recognition and Image Analysis 2012. — Vol. 22. Issue 2. — P. 337-345

2013

• 1 MYaSNIKOV E. V. Use of a nonlinear method for dimensionality reduction of data using reference nodes for search queries // 11-th International Conference on Pat-tern Recognition and Image Analysis: New Information Technologies. — 2013. —

2015

• 1 Myasnikov E.V. Application of the nonlinear dimensionality reduction method with the use of reference nodes for solving the problem of multidimensional data search // Pattern Recognition and Image Analysis 2015. — Vol. 25. Issue 3. — P. 493-499
• 2 Myasnikov E.V. Evaluation of space partitioning data structures for nonlinear mapping // 23rd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2015 - Full Papers Proceedings. — 2015. — P. 109-118
• 3 Myasnikov E.V. A nonlinear dimensionality reduction using combined approach to feature space decomposition // CEUR Workshop Proceedings. — 2015. — Vol. 1452. — P. 85-95
• 4 Myasnikov E.V. Nonlinear mapping methods with adjustable computational complexity for hyperspectral image analysis // Proceedings of SPIE - The International Society for Optical Engineering. — 2015. — Vol. 9875.

2024

• 1 Alekseev A., Savchenko A.V., Tutubalina E. etc. Blending of Predictions Boosts Understanding for Multimodal Advertisements // Journal of Mathematical Sciences 2024. — Vol. 285. Issue 1. № 1. — P. 126-141
• 2 Firsov N., Myasnikov E., Lobanov V. etc. HyperKAN: Kolmogorov–Arnold Networks Make Hyperspectral Image Classifiers Smarter // Sensors (Switzerland) 2024. — Vol. 24. Issue 23. № 23.
• 3 Myasnikov Evgeniy Valerevich Fusion of Deep Learning-based and Spectral Features for Hyperspectral Image Analysis // ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2024. — Vol. X-2/W1-2024. — P. 31-38
• 4 Evgeny Myasnikov Compact Representations of Hyperspectral Images Based on the Fusion of Neural Network and Spectral Features // Pattern Recognition and Image Analysis 2024. — Vol. 34. Issue 4. № 4. — P. 1021-1025

2016

• 1 Myasnikov E. Evaluation of stochastic gradient descent methods for nonlinear mapping of hyperspectral data // Lecture Notes in Computer Science. — 2016. — Vol. 9730. — P. 276-283
• 2 Kuznetsov A., Myasnikov E. Copy-move detection algorithm efficiency increase using binary space partitioning trees // CEUR Workshop Proceedings. — 2016. — Vol. 1638. — P. 373-378
• 3 Myasnikov E.V. Analysis of approaches to feature space partitioning for nonlinear dimensionality reduction // Pattern Recognition and Image Analysis 2016. — Vol. 26. Issue 3. — P. 474-482
• 4 Myasnikov E. The use of interpolation methods for nonlinear mapping // Lecture Notes in Computer Science. — 2016. — Vol. 9972 LNCS. — P. 649-655

2017

• 1 Myasnikov E. Exploiting Spatial Context in Nonlinear Mapping of Hyperspectral Image Data // Lecture Notes in Computer Science. — 2017. — Vol. 10485 LNCS. — P. 180-190
• 2 Myasnikov E.V. Hyperspectral image segmentation using dimensionality reduction and classical segmentation approaches // Computer Optics 2017. — Vol. 41. Issue 4. — P. 564-572
• 3 Myasnikov E. Fast techniques for nonlinear mapping of hyperspectral data // Proceedings of SPIE - The International Society for Optical Engineering. — 2017. — Vol. 10341.
• 4 Myasnikov E. Nonlinear mapping based on spectral angle preserving principle for hyperspectral image analysis // Lecture Notes in Computer Science. — 2017. — Vol. 10425 LNCS. — P. 416-427
• 5 Myasnikov E. Technique for processing imagery of plans and drawings obtained using digital camera // Procedia Engineering. — 2017. — Vol. 201. — P. 353-362

2018

• 1 Shiripova L.V., Myasnikov E. Comparative analysis of classification methods for human identification by gait // CEUR Workshop Proceedings. — 2018. — Vol. 2268. — P. 118-128
• 2 Myasnikov E. Embedding spatial context into spectral angle based nonlinear mapping for hyperspectral image analysis // Lecture Notes in Computer Science. — 2018. — Vol. 11114 LNCS. — P. 263-274
• 3 Myasnikov E. Nonlinear dimensionality reduction of hyperspectral data using spectral correlation as a similarity measure // Lecture Notes in Computer Science. — 2018. — Vol. 10716 LNCS. — P. 237-244
• 4 Myasnikov E.V. Nonlinear dimensionality reduction of hyperspectral images based on spectral angles and exploiting the spatial context // Journal of Physics: Conference Series. — 2018. — Vol. 1096. Issue 1.
• 5 Myasnikov E.V. Compensation of the complex geometric distortions induced by a car digital video recording equipment // CEUR Workshop Proceedings. — 2018. — Vol. 2210. — P. 410-416
• 6 Semenov M.S., Myasnikov E.V. A comparison of iris image segmentation techniques // CEUR Workshop Proceedings. — 2018. — Vol. 2210. — P. 163-169
• 7 Strukova O.V., Shiripova L.V., Myasnikov E.V. Gait analysis for person recognition using principal component analysis and support vector machines // CEUR Workshop Proceedings. — 2018. — Vol. 2210. — P. 170-176
• 8 Myasnikov E. Evaluation of nonlinear dimensionality reduction techniques for classification of hyperspectral images // CEUR Workshop Proceedings. — 2018. — Vol. 2268. — P. 147-154

2019

• 1 Myasnikov E.V. Automatic search for vanishing points on mobile devices // CEUR Workshop Proceedings. — 2019. — Vol. 2391. — P. 216-221
• 2 Myasnikov E., Savchenko A. Detection of sensitive textual information in user photo albums on mobile devices // SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. — 2019. — P. 384-390
• 3 Shiripova L.V., Myasnikov E.V. Human action recognition using dimensionality reduction and support vector machine // CEUR Workshop Proceedings. — 2019. — Vol. 2391. — P. 48-53
• 4 Shiripova Lyubov Valerevna, Myasnikov E.V. Распознавание действий человека с использованием снижения размерности и машины опорных векторов // V Международная конференция и молодёжная школа «Информационные технологии и нанотехнологии» (ИТНТ-2019). — 2019. — Vol. 2. — P. 310-317
• 5 Myasnikov E. Estimation of non-radial geometric distortions for dash cams // Lecture Notes in Computer Science. — 2019. — Vol. 11832 LNCS. — P. 335-344
• 6 Myasnikov E. Dimensionality reduction of hyperspectral images using autoassociative neural networks // SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. — 2019. — P. 591-595
• 7 Strukova O.V., Myasnikov E.V. The choice of methods for the construction of PCA-based features and the selection of SVM parameters for person identification by gait // Journal of Physics: Conference Series. — 2019. — Vol. 1368. Issue 3.
• 8 Myasnikov E.V. Nonlinear dimensionality reduction of hyperspectral data based on spectral information divergence preserving principle // Journal of Physics: Conference Series. — 2019. — Vol. 1368. Issue 3.
• 9 Borisov A.N., Myasnikov E.V. The implementation of ”Kuznyechik” encryption algorithm using NVIDIA CUDA technology // CEUR Workshop Proceedings. — 2019. — Vol. 2416. — P. 308-313

2020

• 1 Borisov A., Myasnikov E. Performance Evaluation of Gradient-based Dimensionality Reduction Methods on Different Devices // Proceedings - 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2020. — 2020. — P. 428-431
• 2 Myasnikov E. Dimensionality reduction of hyperspectral images based on the linear mixture model and dimensionality estimation // Proceedings of SPIE - The International Society for Optical Engineering. — 2020. — Vol. 11433.
• 3 Ganeeva Yuliya Khanifovna, Myasnikov E.V. Сегментация радужной оболочки глаза на изображении с помощью сверточной нейронной сети архитектуры U-Net // VI Международная конференция и молодёжная школа «Информационные технологии и нанотехнологии» (ИТНТ-2020). — 2020. — Vol. 2. — P. 57-63
• 4 Myasnikov E. Assessment of camera orientation in manhattan scenes using information from optical and inertial sensors // CEUR Workshop Proceedings. — 2020. — Vol. 2665. — P. 5-9
• 5 Borisov A., Myasnikov E. Dimensionality reduction using GPU-accelerated gradient descent // CEUR Workshop Proceedings. — 2020. — Vol. 2667. — P. 248-250
• 6 Myasnikov E. Using UMAP for Dimensionality Reduction of Hyperspectral Data // 2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020. — 2020. —
• 7 Ganeeva Y., Myasnikov E. Using Convolutional Neural Networks for Segmentation of Iris Images // 2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020. — 2020. —
• 8 Shiripova L.V., Strukova O.V., Myasnikov E.V. Study of classification techniques for human action recognition based on PCA and width vectors // Proceedings of ITNT 2020 - 6th IEEE International Conference on Information Technology and Nanotechnology. — 2020. —
• 9 Borisov A., Myasnikov E. Implementation of Magma and Kuznyechik ciphers using HIP // Proceedings of ITNT 2020 - 6th IEEE International Conference on Information Technology and Nanotechnology. — 2020. —
• 10 Myasnikov E. Hyperspectral data dimensionality reduction using nonlinear autoencoders // CEUR Workshop Proceedings. — 2020. — Vol. 2665. — P. 33-36
• 11 Ganeeva Y., Myasnikov E. Iris segmentation in an image using U-Net convolutional neural network architecture // CEUR Workshop Proceedings. — 2020. — Vol. 2665. — P. 10-13

2021

• 1 Myasnikov E. Segmentation of Hyperspectral Images Based on Dimensionality Estimation in Spatial Regions // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
• 2 Myasnikov E. The choice of vantage points in vp-tree construction for copy-move detection in digital images // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
• 3 Efimenko E., Myasnikov E. Evaluation of Dimensionality Reduction Techniques in the Problem of Person Recognition by Gait // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
• 4 Myasnikov E. Evaluation of Spectral Similarity Measures and Dimensionality Reduction Techniques for Hyperspectral Images // Lecture Notes in Computer Science. — 2021. — Vol. 12665 LNCS. — P. 289-300
• 5 Myasnikov E. Hyperspectral data clustering using hellinger divergence // Journal of Physics: Conference Series. — 2021. — Vol. 2096. Issue 1.
• 6 Myasnikov E. Exact nearest neighbour search within constrained neighbourhood using the forest of vp-tree-like structures // Journal of Physics: Conference Series. — 2021. — Vol. 2096. Issue 1.
• 7 Ganeeva Y., Myasnikov E. Augmentation in Neural Network Training for Person Identification by Iris Images // Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021. — 2021. — P. 106-109
• 8 Myasnikov E. Nearest Neighbor Search in Hyperspectral Data Using Binary Space Partitioning Trees // Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing. — 2021. — Vol. 2021-March.
• 9 Myasnikov E.V. Comparison of Spectral Dissimilarity Measures and Dimension Reduction Techniques for Hyperspectral Images // Pattern Recognition and Image Analysis 2021. — Vol. 31. Issue 3. — P. 454-465

2022

• 1 Ganeeva Y.K., Myasnikov E.V. Identifying persons from iris images using neural networks for image segmentation and feature extraction // Computer Optics 2022. — Vol. 46. Issue 2. — P. 308-316
• 2 Myasnikov E. Data Dimensionality Reduction Technique Based on Preservation of Hellinger Divergence // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). — 2022. — Vol. 13217 LNCS. — P. 190-198
• 3 Myasnikov E. A Feature Fusion Technique for Dimensionality Reduction // Pattern Recognition and Image Analysis 2022. — Vol. 32. Issue 3. № 3. — P. 607-610
• 4 Ganeeva Y., Myasnikov E. Development of a Method for Iris-Based Person Recognition Using Convolutional Neural Networks // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). — 2022. — Vol. 13217 LNCS. — P. 175-189
• 5 Myasnikov E. Fusion of spectral and texture features for hyperspectral data clustering // 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2022. — 2022. — P. 166-169

2023

• 1 Myasnikov E., Konovalov V.F. Method for detection of adversarial attacks on face detection networks // 2023 IX International Conference on Information Technology and Nanotechnology (ITNT). — 2023. —
• 2 Myasnikov E. Visualization of feature spaces based on spectral and texture characteristics // 2023 IX International Conference on Information Technology and Nanotechnology (ITNT). — 2023. —
• 3 Myasnikov E. A Framework for Feature Fusion with Application to Hyperspectral Images // Lecture Notes in Computer Science. — 2023. — Vol. 13644 LNCS. — P. 509-518

2005

• 1 Chernov A.V., Chicheva M.A., Gashnikov M.V. etc. Software system for development of algorithms for digital images processing and analysis // Proceedings of the Second IASTED International Multi-Conference on Automation, Control, and Information Technology, ACIT 2005. — 2005. — P. 139-142