| Pseudogradient estimation of digital images interframe geometrical deformations AG Tashlinskii Vision Systems: Segmentation and Pattern Recognition, 2007 | 114 | 2007 |
| Computational expenditure reduction in pseudo-gradient image parameter estimation A Tashlinskii International Conference on Computational Science, 456-462, 2003 | 85 | 2003 |
| Detection of objects in the images: from likelihood relationships towards scalable and efficient neural networks NA Andriyanov, VE Dementiev, AG Tashlinskii Computer Optics 46 (1), 139-159, 2022 | 69 | 2022 |
| The specifics of pseudogradient estimation of geometric deformations in image sequences AG Tashlinskii Pattern recognition and image analysis 18, 700-705, 2008 | 57 | 2008 |
| Efficiency of object identification for binary images RG Magdeev, AG Tashlinskii Компьютерная оптика 43 (2), 277-281, 2019 | 43 | 2019 |
| Pseudogradient optimization of objective function in estimation of geometric interframe image deformations AG Tashlinskii, GL Safina, SV Voronov Pattern recognition and image analysis 22, 386-392, 2012 | 34 | 2012 |
| Optimization of goal function pseudogradient in the problem of interframe geometrical deformations estimation AG Tashlinskii Pattern Recognition Techniques, Technology and Applications 10, 249-280, 2008 | 31 | 2008 |
| A comparative analysis of the efficiency of the stochastic gradient approach to the identification of objects in binary images RG Magdeev, AG Tashlinskii Pattern recognition and image analysis 24, 535-541, 2014 | 28 | 2014 |
| Pseudogradient optimization in the estimation of geometric interframe image deformations AG Tashlinskii, GV Dikarina, GL Minkina, AN Repin Pattern recognition and image analysis 18, 706-711, 2008 | 23 | 2008 |
| Analysis of methods of estimating objective function gradient during recurrent measurements of image parameters AG Tashlinskii, PV Smirnov, SS Zhukov Pattern recognition and image analysis 22, 399-405, 2012 | 22 | 2012 |
| Pixel-by-pixel estimation of scene motion in video AG Tashlinskii, PV Smirnov, MG Tsaryov The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2017 | 19 | 2017 |
| Efficiency analysis of information theoretic measures in image registration SV Voronov, AG Tashlinskii Pattern recognition and image analysis 26, 502-505, 2016 | 15 | 2016 |
| Pseudogradient estimation of image sequence spatial deformations/Automation, Control and Inrormation Technology AG Tashlinskii A Publication of The International Association of Science and Technology for …, 2002 | 15 | 2002 |
| Detecting anomalies in temporal image sequences based on object identification by the stochastic gradient adaptation VE Dementiev, RG Magdeev, AG Tashlinskii 2021 International Conference on Information Technology and Nanotechnology …, 2021 | 14 | 2021 |
| Choice of the objective function for pseudogradient measurement of image parameters GL Minkina, MY Samoilov, AG Tashlinskii Pattern Recognition and Image Analysis 17, 136-139, 2007 | 14 | 2007 |
| Method for detecting instability and recovery of signal shape under intense noise AG Tashlinskii, RM Kurbanaliev, SS Zhukov Pattern recognition and image analysis 23, 425-428, 2013 | 12 | 2013 |
| Structural optimization of pseudogradient algorithms for measuring interframe image deformations AG Tashlinskii, DS Muratkhanov Pattern Recognition and Image Analysis (Advances in Mathematical Theory and …, 2003 | 12 | 2003 |
| The efficiency of pseudogradient procedures for the estimation of image parameters with a finite number of iterations AG Tashlinskii Pattern Recognition and Image Analysis (Advances in Mathematical Theory and …, 1998 | 12 | 1998 |
| Development of a productive transport detection system using convolutional neural networks NA Andriyanov, VE Dementiev, AG Tashlinskiy Pattern Recognition and Image Analysis 32 (3), 495-500, 2022 | 11 | 2022 |
| Usage of mutual information as similarity measures for stochastic binding images A Tashlinskii, G Safina, R Kovalenko, R Ibragimov 2021 International Conference on Information Technology and Nanotechnology …, 2021 | 11 | 2021 |
