Pseudogradient estimation of digital images interframe geometrical deformations AG Tashlinskii Vision Systems: Segmentation and Pattern Recognition, 2007 | 80 | 2007 |
Computational expenditure reduction in pseudo-gradient image parameter estimation A Tashlinskii International Conference on Computational Science, 456-462, 2003 | 79 | 2003 |
The specifics of pseudogradient estimation of geometric deformations in image sequences AG Tashlinskii Pattern recognition and image analysis 18 (4), 700-705, 2008 | 49 | 2008 |
Pseudogradient optimization of objective function in estimation of geometric interframe image deformations AG Tashlinskii, GL Safina, SV Voronov Pattern recognition and image analysis 22 (2), 386-392, 2012 | 29 | 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 | 19 | 2008 |
Pseudogradient optimization in the estimation of geometric interframe image deformations AG Tashlinskii, GV Dikarina, GL Minkina, AN Repin Pattern Recognition and Image Analysis 18 (4), 706-711, 2008 | 17 | 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 (4), 535-541, 2014 | 16 | 2014 |
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 (3), 399-405, 2012 | 16 | 2012 |
Pixel-by-pixel estimation of scene motion in video AG Tashlinskii, PV Smirnov, MG Tsaryov International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2017 | 15 | 2017 |
Pseudogradient estimation of image sequence spatial deformations AG Tashlinskii Naukoemkie Tehnologii 3 (3), 32-43, 2002 | 14 | 2002 |
Efficiency of object identification for binary images RG Magdeev, AG Tashlinskii Компьютерная оптика 43 (2), 2019 | 12 | 2019 |
Method for detecting instability and recovery of signal shape under intense noise AG Tashlinskii, RM Kurbanaliev, SS Zhukov Pattern recognition and image analysis 23 (3), 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 |
Choice of the objective function for pseudogradient measurement of image parameters GL Minkina, MY Samoilov, AG Tashlinskii Pattern Recognition and Image Analysis 17 (1), 136-139, 2007 | 11 | 2007 |
Efficiency analysis of information theoretic measures in image registration SV Voronov, AG Tashlinskii Pattern recognition and image analysis 26 (3), 502-505, 2016 | 10 | 2016 |
Detection of radio pulses in unfiltered signals received by spatially distributed receivers A Tashlinskii, M Tsaryov Procedia engineering 201, 296-301, 2017 | 9 | 2017 |
Analysis of objective functions in the problem of estimating mutual geometric deformations of images SV Voronov, AG Tashlinskii Pattern recognition and image analysis 24 (4), 575-582, 2014 | 9 | 2014 |
Methods of finding gradient estimates of target function for measurement of images parameters AG Tashlinskii, PV Smirnov, LS Biktimirov Pattern recognition and image analysis 21 (2), 339-342, 2011 | 8 | 2011 |
Estimation of the parameters of spatial deformations of image sequences AG Tashlinskii Ulyanovsk: UlSTU Publisher, 2000 | 8 | 2000 |