| PCANet: A simple deep learning baseline for image classification? TH Chan, K Jia, S Gao, J Lu, Z Zeng, Y Ma IEEE transactions on image processing 24 (12), 5017-5032, 2015 | 1232 | 2015 |
| A convex analysis-based minimum-volume enclosing simplex algorithm for hyperspectral unmixing TH Chan, CY Chi, YM Huang, WK Ma IEEE Transactions on Signal Processing 57 (11), 4418-4432, 2009 | 394 | 2009 |
| 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 | 380 | 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 | 211 | 2011 |
| DL-SFA: Deeply-learned slow feature analysis for action recognition L Sun, K Jia, TH Chan, Y Fang, G Wang, S Yan Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 136 | 2014 |
| Robust and practical face recognition via structured sparsity K Jia, TH Chan, Y Ma European conference on computer vision, 331-344, 2012 | 134 | 2012 |
| A convex analysis framework for blind separation of non-negative sources TH Chan, WK Ma, CY Chi, Y Wang IEEE Transactions on Signal Processing 56 (10), 5120-5134, 2008 | 134 | 2008 |
| A non-negative sparse promoting algorithm for high resolution hyperspectral imaging E Wycoff, TH Chan, K Jia, WK Ma, Y Ma 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 118 | 2013 |
| Learning by associating ambiguously labeled images Z Zeng, S Xiao, K Jia, TH Chan, S Gao, D Xu, Y Ma Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 89 | 2013 |
| 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 | 83 | 2011 |
| Nonnegative least-correlated component analysis for separation of dependent sources by volume maximization FY Wang, CY Chi, TH Chan, Y Wang IEEE transactions on pattern analysis and machine intelligence 32 (5), 875-888, 2009 | 82 | 2009 |
| 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 | 71 | 2012 |
| Tissue-specific compartmental analysis for dynamic contrast-enhanced MR imaging of complex tumors L Chen, PL Choyke, TH Chan, CY Chi, G Wang, Y Wang IEEE transactions on medical imaging 30 (12), 2044-2058, 2011 | 64 | 2011 |
| Semiblind hyperspectral unmixing in the presence of spectral library mismatches X Fu, WK Ma, JM Bioucas-Dias, TH Chan IEEE Transactions on Geoscience and Remote Sensing 54 (9), 5171-5184, 2016 | 58 | 2016 |
| Self-dictionary sparse regression for hyperspectral unmixing: Greedy pursuit and pure pixel search are related X Fu, WK Ma, TH Chan, JM Bioucas-Dias IEEE Journal of Selected Topics in Signal Processing 9 (6), 1128-1141, 2015 | 56 | 2015 |
| A fast hyperplane-based minimum-volume enclosing simplex algorithm for blind hyperspectral unmixing CH Lin, CY Chi, YH Wang, TH Chan IEEE Transactions on Signal Processing 64 (8), 1946-1961, 2015 | 47 | 2015 |
| Sparse illumination learning and transfer for single-sample face recognition with image corruption and misalignment L Zhuang, TH Chan, AY Yang, SS Sastry, Y Ma International Journal of Computer Vision 114 (2), 272-287, 2015 | 47 | 2015 |
| ROML: A robust feature correspondence approach for matching objects in a set of images K Jia, TH Chan, Z Zeng, S Gao, G Wang, T Zhang, Y Ma International Journal of Computer Vision 117 (2), 173-197, 2016 | 35 | 2016 |
| 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 | 32 | 2013 |
| Finding correspondence from multiple images via sparse and low-rank decomposition Z Zeng, TH Chan, K Jia, D Xu European Conference on Computer Vision, 325-339, 2012 | 32 | 2012 |
Chong-Yung ChiProfessor, Institute of Communications Engineering, & Department of Electrical Engineering National Tsing Hua UniversityVerified email at ee.nthu.edu.tw
