| 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 | 62 | 2020 |
| 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 | 41 | 2018 |
| 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 |
| Vehicle detection from multi-modal aerial imagery using YOLOv3 with mid-level fusion M Dhanaraj, M Sharma, T Sarkar, S Karnam, DG Chachlakis, R Ptucha, ... Big data II: learning, analytics, and applications 11395, 22-32, 2020 | 24 | 2020 |
| Novel algorithm for incremental L1-norm principal-component analysis M Dhanaraj, PP Markopoulos 2018 26th European Signal Processing Conference (EUSIPCO), 2020-2024, 2018 | 14 | 2018 |
| Options for multimodal classification based on L1-Tucker decomposition DG Chachlakis, M Dhanaraj, A Prater-Bennette, PP Markopoulos Big Data: Learning, Analytics, and Applications 10989, 177-189, 2019 | 13 | 2019 |
| Incremental complex L1-PCA for direction-of-arrival estimation M Dhanaraj, DG Chachlakis, PP Markopoulos 2018 IEEE Western New York Image and Signal Processing Workshop (WNYISPW), 1-5, 2018 | 12 | 2018 |
| Stochastic principal component analysis via mean absolute projection maximization M Dhanaraj, PP Markopoulos 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2019 | 7 | 2019 |
| On the Asymptotic L1-PC of Elliptical Distributions M Dhanaraj, PP Markopoulos IEEE Signal Processing Letters 29, 2343-2347, 2022 | 4 | 2022 |
| Robust Stochastic Principal Component Analysis via Barron Loss M Dhanaraj, PP Markopoulos 2022 56th Asilomar Conference on Signals, Systems, and Computers, 1286-1290, 2022 | 1 | 2022 |
| Leveraging tensor methods in neural architecture search for the automatic development of lightweight convolutional neural networks M Dhanaraj, H Do, D Nair, C Xu Big Data IV: Learning, Analytics, and Applications 12097, 11-21, 2022 | 1 | 2022 |
| Incremental and adaptive L1-norm principal component analysis: Novel algorithms and applications M Dhanaraj Rochester Institute of Technology, 2018 | 1 | 2018 |
| Dynamic Algorithms and Asymptotic Theory for Lp-norm Data Analysis M Dhanaraj Rochester Institute of Technology, 2022 | | 2022 |
| ISSUE ON ROBUST SUBSPACE LEARNING AND TRACKING: THEORY, ALGORITHMS, AND APPLICATIONS T Bouwmans, N Vaswani, P Rodriguez, R Vidal, Z Lin, PP Markopoulos, ... | | |
