Optimal algorithms for L1-subspace signal processing P Markopoulos, G Karystinos, D Pados IEEE Transactions on Signal Processing 62, 5046-5058, 2014 | 213 | 2014 |
Efficient L1-norm principal-component analysis via bit flipping PP Markopoulos, S Kundu, S Chamadia, DA Pados IEEE Transactions on Signal Processing 65 (16), 4252-4264, 2017 | 156 | 2017 |
YOLOrs: Object detection in multimodal remote sensing imagery M Sharma, M Dhanaraj, S Karnam, DG Chachlakis, R Ptucha, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 67 | 2020 |
Fast computation of the L1-principal component of real-valued data S Kundu, PP Markopoulos, DA Pados 2014 ieee international conference on acoustics, speech and signal …, 2014 | 67 | 2014 |
L1-norm principal-component analysis of complex data N Tsagkarakis, PP Markopoulos, G Sklivanitis, DA Pados IEEE Transactions on Signal Processing 66 (12), 3256-3267, 2018 | 64 | 2018 |
Some options for L1-subspace signal processing PP Markopoulos, GN Karystinos, DA Pados ISWCS 2013; The Tenth International Symposium on Wireless Communication …, 2013 | 50 | 2013 |
L1-norm Tucker Tensor Decomposition DG Chachlakis, A Prater-Bennette, PP Markopoulos IEEE Access 7 (10.1109/ACCESS.2019.2955134), 178454-178465, 2019 | 49 | 2019 |
L1-norm Tucker Tensor Decomposition DG Chachlakis, A Prater-Bennette, PP Markopoulos arXiv preprint arXiv:1904.06455, 2019 | 49 | 2019 |
Adaptive L1-norm principal-component analysis with online outlier rejection PP Markopoulos, M Dhanaraj, A Savakis IEEE Journal of Selected Topics in Signal Processing 12 (6), 1131-1143, 2018 | 42 | 2018 |
L1-fusion: Robust linear-time image recovery from few severely corrupted copies PP Markopoulos, S Kundu, DA Pados IEEE International Conference on Image Processing (ICIP 2015), Québec City …, 2015 | 35 | 2015 |
The exact solution to rank-1 L1-norm TUCKER2 decomposition PP Markopoulos, DG Chachlakis, EE Papalexakis IEEE Signal Processing Letters 25 (4), 511-515, 2018 | 31 | 2018 |
Indoor human motion classification by L1-norm subspaces of micro-Doppler signatures PP Markopoulos, F Ahmad 2017 IEEE Radar Conference (RadarConf), 1807-1810, 2017 | 31 | 2017 |
Linear Discriminant Analysis with few training data PP Markopoulos 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 29 | 2017 |
Dynamic L1-norm Tucker tensor decomposition DG Chachlakis, M Dhanaraj, A Prater-Bennette, PP Markopoulos IEEE Journal of Selected Topics in Signal Processing 15 (3), 587-602, 2021 | 26 | 2021 |
Direction finding by complex L1-principal component analysis N Tsagkarakis, PP Markopoulos, DA Pados IEEE 16th International Workshop on Signal Processing Advances in Wireless …, 2015 | 26 | 2015 |
Vehicle detection from multi-modal aerial imagery using YOLOv3 with mid-level fusion M Dhanaraj, M Sharma, T Sarkar, S Karnam, D Chachlakis, R Ptucha, ... Big Data II: Learning, Analytics, and Applications 11395, 1139506, 2020 | 24 | 2020 |
Adaptive radar-based human activity recognition with L1-norm linear discriminant analysis PP Markopoulos, S Zlotnikov, F Ahmad IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology …, 2019 | 24 | 2019 |
L1-NORM HIGHER-ORDER SINGULAR-VALUE DECOMPOSITION PP Markopoulos, DG Chachlakis, A Prater-Bennette 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2018 | 21 | 2018 |
On the L1-norm approximation of a matrix by another of lower rank N Tsagkarakis, PP Markopoulos, DA Pados 2016 15th IEEE International Conference on Machine Learning and Applications …, 2016 | 21 | 2016 |
Direction finding with L1-norm subspaces PP Markopoulos, N Tsagkarakis, DA Pados, GN Karystinos Compressive Sensing III 9109, 130-140, 2014 | 19 | 2014 |