QR decomposition-based algorithm for background subtraction M Amintoosi, F Farbiz, M Fathy, M Analoui, N Mozayani 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 23 | 2007 |
Feature selection in a fuzzy student sectioning algorithm M Amintoosi, J Haddadnia Practice and Theory of Automated Timetabling V: 5th International Conference …, 2005 | 23 | 2005 |
A fast image registration approach based on SIFT key-points applied to super-resolution M Amintoosi, M Fathy, N Mozayani The Imaging Science Journal 60 (4), 185-201, 2012 | 20 | 2012 |
Precise image registration with structural similarity error measurement applied to superresolution M Amintoosi, M Fathy, N Mozayani EURASIP Journal on Advances in Signal Processing 2009, 1-7, 2009 | 16 | 2009 |
Regional varying image super-resolution M Amintoosi, M Fathy, N Mozayani 2009 International Joint Conference on Computational Sciences and …, 2009 | 13 | 2009 |
Using pattern matching for tiling and packing problems M Amintoosi, HS Yazdi, M Fathy, R Monsefi European journal of operational research 183 (3), 950-960, 2007 | 13 | 2007 |
Fuzzy C-means clustering algorithm to group students in a course into smaller sections M Amintoosi, J Haddadnia Springer-Verlag Berlin Heidelberg, LNCS 3616, 147-160, 2005 | 11 | 2005 |
A fish school clustering algorithm: applied to student sectioning problem M Amintoosi, M Fathy, N Mozayani, A Rahmani Proceedings of 2007 International Conference on Life System Modelling and …, 2007 | 9 | 2007 |
Video enhancement through image registration based on structural similarity M Amintoosi, M Fathy, N Mozayani The Imaging Science Journal 59 (4), 238-250, 2011 | 7 | 2011 |
A QR decomposition based mixture model algorithm for background modeling M Amintoosi, F Farbiz, M Fathy 2007 6th International Conference on Information, Communications & Signal …, 2007 | 7 | 2007 |
Featured Selection in A Fuzzy Student Sectioning Algorithm J Haddadnia, M Amintoosi Lecture Note Ocn Computer Science, Accepted for publication, 2005 | 7 | 2005 |
Estimation of Artificial Neural Networks (MLP and RBF) accuracy in anticipation of the dust of the Sabzevar cement factory SS Keykhosravi, F Nejadkoorki, M Amintoosi Journal of Research in Environmental Health 5 (1), 43-52, 2019 | 6 | 2019 |
Sensitivity Analysis of Meteorological Parameters and Instability Indices on Concentration of Carbon Monoxide, Particulate Matter, and Air Quality Index in Tehran M Farhadi, R. and Hadavifar, M. and Moeinaddini, M. and Amintoosi ECOPERSIA 6 (2), 2018 | 6 | 2018 |
Reconstruction+ synthesis: A hybrid method for multi-frame super-resolution M Amintoosi, M Fathy, N Mozayani MVIP08) 2008 Iranian Conference on Machine Vision and Image Processing, 179-184, 2008 | 5 | 2008 |
Improving Canny edge detection algorithm using fractional-order derivatives M Mortazavi, M Gachpazan, M Amintoosi Journal of Mathematical Modeling 10 (4), 495-514, 2022 | 4 | 2022 |
Picture collage with genetic algorithm and stereo vision H Ekhtiyar, M Sheida, M Amintoosi arXiv preprint arXiv:1201.1417, 2011 | 4 | 2011 |
Image Registration for Super-Resolution using SIFT Key-points M Amintoosi, M Fathy, N Mozayani proceeding of: 17th Iranian Conference on Electrical Engineering, 2009 | 4 | 2009 |
A new quantized input RLS, QI-RLS, algorithm A Amiri, M Fathy, M Amintoosi, H Sadoghi Computational Science and Its Applications–ICCSA 2007: International …, 2007 | 4 | 2007 |
Fractional Derivative Approach to Sparse Super Resolution M Mortazavi, M Gachpazan, M Amintoosi, S Salashour The Visual Computer, 2022 | 3 | 2022 |
Video Resolution Enhancement in the Presence of Moving Objects. M Amintoosi, M Fathy, N Mozayani IPCV, 456-460, 2009 | 3 | 2009 |