| A signal processing perspective on hyperspectral unmixing: Insights from remote sensing WK Ma, JM Bioucas-Dias, TH Chan, N Gillis, P Gader, AJ Plaza, ... IEEE Signal Processing Magazine 31 (1), 67-81, 2013 | 525 | 2013 |
| A simplex volume maximization framework for hyperspectral endmember extraction TH Chan, WK Ma, AM Ambikapathi, CY Chi IEEE Transactions on Geoscience and Remote Sensing 49 (11), 4177-4193, 2011 | 266 | 2011 |
| Identifiability of the simplex volume minimization criterion for blind hyperspectral unmixing: The no-pure-pixel case CH Lin, WK Ma, WC Li, CY Chi, AM Ambikapathi IEEE Transactions on Geoscience and Remote Sensing 53 (10), 5530-5546, 2015 | 137 | 2015 |
| Deep learning with time-frequency representation for pulse estimation from facial videos GS Hsu, AM Ambikapathi, MS Chen 2017 IEEE international joint conference on biometrics (IJCB), 383-389, 2017 | 135 | 2017 |
| Robust license plate detection in the wild GS Hsu, AM Ambikapathi, SL Chung, CP Su 2017 14th IEEE International Conference on Advanced Video and Signal Based …, 2017 | 115 | 2017 |
| Chance-constrained robust minimum-volume enclosing simplex algorithm for hyperspectral unmixing AM Ambikapathi, TH Chan, WK Ma, CY Chi IEEE Transactions on Geoscience and Remote Sensing 49 (11), 4194-4209, 2011 | 110 | 2011 |
| Hyperspectral data geometry-based estimation of number of endmembers using p-norm-based pure pixel identification algorithm AM Ambikapathi, TH Chan, CY Chi, K Keizer IEEE Transactions on Geoscience and Remote Sensing 51 (5), 2753-2769, 2012 | 88 | 2012 |
| A deep learning framework for heart rate estimation from facial videos GSJ Hsu, RC Xie, AM Ambikapathi, KJ Chou Neurocomputing 417, 155-166, 2020 | 41 | 2020 |
| Online RBM: Growing Restricted Boltzmann Machine on the fly for unsupervised representation R Savitha, AM Ambikapathi, K Rajaraman Applied Soft Computing 92, 106278, 2020 | 40 | 2020 |
| Robust affine set fitting and fast simplex volume max-min for hyperspectral endmember extraction TH Chan, AM Ambikapathi, WK Ma, CY Chi IEEE transactions on geoscience and remote sensing 51 (7), 3982-3997, 2013 | 37 | 2013 |
| Faultnet: Faulty rail-valves detection using deep learning and computer vision RS Pahwa, J Chao, J Paul, Y Li, MTL Nwe, S Xie, A James, ... 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 559-566, 2019 | 34 | 2019 |
| MRI image segmentation using unsupervised clustering techniques D Selvathi, A Arulmurgan, ST Seivi, S Alagappan Sixth International Conference on Computational Intelligence and Multimedia …, 2005 | 29 | 2005 |
| Highlighted deep learning based identification of pharmaceutical blister packages JS Wang, AM Ambikapathi, Y Han, SL Chung, HW Ting, CF Chen 2018 IEEE 23rd International Conference on Emerging Technologies and Factory …, 2018 | 23 | 2018 |
| On the endmember identifiability of Craig's criterion for hyperspectral unmixing: A statistical analysis for three-source case CH Lin, AM Ambikapathi, WC Li, CY Chi 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 20 | 2013 |
| Robust human action recognition using global spatial-temporal attention for human skeleton data Y Han, SL Chung, AM Ambikapathi, JS Chan, WY Lin, SF Su 2018 International joint conference on neural networks (IJCNN), 1-8, 2018 | 19 | 2018 |
| Convex geometry based outlier-insensitive estimation of number of endmembers in hyperspectral images AM Ambikapathi, TH Chan, CH Lin, CY Chi 2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2013 | 19 | 2013 |
| Knowledge capture and replay for continual learning S Gopalakrishnan, PR Singh, H Fayek, S Ramasamy, A Ambikapathi Proceedings of the IEEE/CVF winter conference on applications of computer …, 2022 | 18 | 2022 |
| Hyperspectral unmixing from a convex analysis and optimization perspective TH Chan, WK Ma, CY Chi, A ArulMurugan 2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution …, 2009 | 18 | 2009 |
| Convex-optimization-based compartmental pharmacokinetic analysis for prostate tumor characterization using DCE-MRI AM Ambikapathi, TH Chan, CH Lin, FS Yang, CY Chi, Y Wang IEEE Transactions on Biomedical Engineering 63 (4), 707-720, 2015 | 16 | 2015 |
| Hebbnet: A simplified hebbian learning framework to do biologically plausible learning M Gupta, AM Ambikapathi, S Ramasamy ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 15 | 2021 |
Chong-Yung ChiProfessor, Institute of Communications Engineering, & Department of Electrical Engineering National Tsing Hua UniversityVerified email at ee.nthu.edu.tw