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Tsung-Han Chan
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2020 – today
- 2022
- [c30]Chien-Sheng Huang, Hsin-Feng Miao, Ze-Lin Lian, Tsung-Han Chan, Jenn-Kaie Lain:
The smart humidity detection using the interdigitated IGZO thin film. ICCE-TW 2022: 493-494
2010 – 2019
- 2016
- [j20]Kui Jia, Tsung-Han Chan, Zinan Zeng, Shenghua Gao, Gang Wang, Tianzhu Zhang, Yi Ma:
ROML: A Robust Feature Correspondence Approach for Matching Objects in A Set of Images. Int. J. Comput. Vis. 117(2): 173-197 (2016) - [j19]Arul-Murugan Ambikapathi, Tsung-Han Chan, Chia-Hsiang Lin, Fei-Shih Yang, Chong-Yung Chi, Yue Wang:
Convex-Optimization-Based Compartmental Pharmacokinetic Analysis for Prostate Tumor Characterization Using DCE-MRI. IEEE Trans. Biomed. Eng. 63(4): 707-720 (2016) - [j18]Shenghua Gao, Zinan Zeng, Kui Jia, Tsung-Han Chan, Jinhui Tang
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Patch-Set-Based Representation for Alignment-Free Image Set Classification. IEEE Trans. Circuits Syst. Video Technol. 26(9): 1646-1658 (2016) - [j17]Xiao Fu, Wing-Kin Ma
Semiblind Hyperspectral Unmixing in the Presence of Spectral Library Mismatches. IEEE Trans. Geosci. Remote. Sens. 54(9): 5171-5184 (2016) - [j16]Chia-Hsiang Lin, Chong-Yung Chi, Yu-Hsiang Wang, Tsung-Han Chan:
A Fast Hyperplane-Based Minimum-Volume Enclosing Simplex Algorithm for Blind Hyperspectral Unmixing. IEEE Trans. Signal Process. 64(8): 1946-1961 (2016) - 2015
- [j15]Liansheng Zhuang, Tsung-Han Chan, Allen Y. Yang, S. Shankar Sastry, Yi Ma:
Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment. Int. J. Comput. Vis. 114(2-3): 272-287 (2015) - [j14]Xiao Fu, Wing-Kin Ma
Self-Dictionary Sparse Regression for Hyperspectral Unmixing: Greedy Pursuit and Pure Pixel Search Are Related. IEEE J. Sel. Top. Signal Process. 9(6): 1128-1141 (2015) - [j13]Tsung-Han Chan, Kui Jia, Shenghua Gao, Jiwen Lu
PCANet: A Simple Deep Learning Baseline for Image Classification? IEEE Trans. Image Process. 24(12): 5017-5032 (2015) - [c29]Chia-Hsiang Lin, Chong-Yung Chi, Yu-Hsiang Wang, Tsung-Han Chan:
A fast hyperplane-based MVES algorithm for hyperspectral unmixing. ICASSP 2015: 1384-1388 - [i6]Yuting Zhang, Kui Jia, Yueming Wang, Gang Pan, Tsung-Han Chan, Yi Ma:
Robust Face Recognition by Constrained Part-based Alignment. CoRR abs/1501.04717 (2015) - [i5]Chia-Hsiang Lin, Chong-Yung Chi, Yu-Hsiang Wang, Tsung-Han Chan:
A Fast Hyperplane-Based Minimum-Volume Enclosing Simplex Algorithm for Blind Hyperspectral Unmixing. CoRR abs/1510.08917 (2015) - 2014
- [j12]Wing-Kin Ma
A Signal Processing Perspective on Hyperspectral Unmixing: Insights from Remote Sensing. IEEE Signal Process. Mag. 31(1): 67-81 (2014) - [j11]Tsung-Han Chan, Kui Jia, Eliot Wycoff, Yi Ma:
MMSE Design of Time and Color Multiplexing Codes. IEEE Trans. Signal Process. 62(5): 1157-1170 (2014) - [c28]Lin Sun
DL-SFA: Deeply-Learned Slow Feature Analysis for Action Recognition. CVPR 2014: 2625-2632 - [c27]Ye Ai, Weifeng Li, Tsung-Han Chan, Qingmin Liao:
Removal of bleed-through effect via nonnegative least-correlation. ICASSP 2014: 2774-2778 - [c26]Xiao Fu, Wing-Kin Ma
A robust subspace method for semiblind dictionary-aided hyperspectral unmixing. WHISPERS 2014: 1-4 - [i4]Liansheng Zhuang, Tsung-Han Chan, Allen Y. Yang, S. Shankar Sastry, Yi Ma:
Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment. CoRR abs/1402.1879 (2014) - [i3]Kui Jia, Tsung-Han Chan, Zinan Zeng, Gang Wang, Tianzhu Zhang, Yi Ma:
ROML: A Robust Feature Correspondence Approach for Matching Objects in A Set of Images. CoRR abs/1403.7877 (2014) - [i2]Tsung-Han Chan, Kui Jia, Shenghua Gao, Jiwen Lu, Zinan Zeng, Yi Ma:
PCANet: A Simple Deep Learning Baseline for Image Classification? CoRR abs/1404.3606 (2014) - [i1]Xiao Fu, Wing-Kin Ma, Tsung-Han Chan, José M. Bioucas-Dias:
Self-Dictionary Sparse Regression for Hyperspectral Unmixing: Greedy Pursuit and Pure Pixel Search are Related. CoRR abs/1409.4320 (2014) - 2013
- [j10]Ka-Kit Lee, Wing-Kin Ma
A Khatri-Rao subspace approach to blind identification of mixtures of quasi-stationary sources. Signal Process. 93(12): 3515-3527 (2013) - [j9]Arul-Murugan Ambikapathi, Tsung-Han Chan, Chong-Yung Chi, Kannan Keizer:
Hyperspectral Data Geometry-Based Estimation of Number of Endmembers Using p -Norm-Based Pure Pixel Identification Algorithm. IEEE Trans. Geosci. Remote. Sens. 51(5-1): 2753-2769 (2013) - [j8]Tsung-Han Chan, Arul-Murugan Ambikapathi, Wing-Kin Ma
Robust Affine Set Fitting and Fast Simplex Volume Max-Min for Hyperspectral Endmember Extraction. IEEE Trans. Geosci. Remote. Sens. 51(7-1): 3982-3997 (2013) - [c25]Zinan Zeng, Shijie Xiao, Kui Jia, Tsung-Han Chan, Shenghua Gao, Dong Xu, Yi Ma:
Learning by Associating Ambiguously Labeled Images. CVPR 2013: 708-715 - [c24]Xiao Fu, Wing-Kin Ma, Tsung-Han Chan, José M. Bioucas-Dias, Marian-Daniel Iordache:
Greedy algorithms for pure pixels identification in hyperspectral unmixing: A multiple-measurement vector viewpoint. EUSIPCO 2013: 1-5 - [c23]Eliot Wycoff, Tsung-Han Chan, Kui Jia, Wing-Kin Ma
A non-negative sparse promoting algorithm for high resolution hyperspectral imaging. ICASSP 2013: 1409-1413 - [c22]Arul-Murugan Ambikapathi, Tsung-Han Chan, Chia-Hsiang Lin, Chong-Yung Chi:
Convex geometry based outlier-insensitive estimation of number of endmembers in hyperspectral images. WHISPERS 2013: 1-4 - 2012
- [c21]Zinan Zeng, Tsung-Han Chan, Kui Jia, Dong Xu:
Finding Correspondence from Multiple Images via Sparse and Low-Rank Decomposition. ECCV (5) 2012: 325-339 - [c20]Kui Jia, Tsung-Han Chan, Yi Ma:
Robust and Practical Face Recognition via Structured Sparsity. ECCV (4) 2012: 331-344 - [c19]Tsung-Han Chan, Kui Jia, Eliot Wycoff, Chong-Yung Chi, Yi Ma:
Towards Optimal Design of Time and Color Multiplexing Codes. ECCV (6) 2012: 485-498 - [c18]Arul-Murugan Ambikapathi, Tsung-Han Chan, Chong-Yung Chi:
Convex geometry based estimation of number of endmembers in hyperspectral images. ICASSP 2012: 1233-1236 - [c17]Tsung-Han Chan, Ji-Yuan Liou, Arul-Murugan Ambikapathi, Wing-Kin Ma
Fast algorithms for robust hyperspectral endmember extraction based on worst-case simplex volume maximization. ICASSP 2012: 1237-1240 - [c16]Arul-Murugan Ambikapathi, Tsung-Han Chan, Kannan Keizer, Fei-Shih Yang, Chong-Yung Chi:
An nBSS algorithm for pharmacokinetic analysis of prostate cancer using DCE-MR images. ISBI 2012: 566-569 - [c15]Hao-En Huang, Tsung-Han Chan, Arul-Murugan Ambikapathi, Wing-Kin Ma, Chong-Yung Chi:
Outlier-robust dimension reduction and its impact on hyperspectral endmember extraction. WHISPERS 2012: 1-4 - [c14]Yu-Shiuan Shen, Tsung-Han Chan, Sébastien Bourguignon, Chong-Yung Chi:
Spatial-spectral unmixing of hyperspectral data for detection and analysis of astrophysical sourceswith the muse instrument. WHISPERS 2012: 1-4 - 2011
- [j7]Li Chen, Tsung-Han Chan, Peter L. Choyke, Elizabeth M. C. Hillman
CAM-CM: a signal deconvolution tool for in vivo dynamic contrast-enhanced imaging of complex tissues. Bioinform. 27(18): 2607-2609 (2011) - [j6]Tsung-Han Chan, Wing-Kin Ma
A Simplex Volume Maximization Framework for Hyperspectral Endmember Extraction. IEEE Trans. Geosci. Remote. Sens. 49(11): 4177-4193 (2011) - [j5]Arul-Murugan Ambikapathi, Tsung-Han Chan, Wing-Kin Ma
Chance-Constrained Robust Minimum-Volume Enclosing Simplex Algorithm for Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 49(11): 4194-4209 (2011) - [j4]Li Chen, Peter L. Choyke, Tsung-Han Chan, Chong-Yung Chi, Ge Wang
Tissue-Specific Compartmental Analysis for Dynamic Contrast-Enhanced MR Imaging of Complex Tumors. IEEE Trans. Medical Imaging 30(12): 2044-2058 (2011) - [c13]Ka-Kit Lee, Wing-Kin Ma
Blind identification of mixtures of quasi-stationary sources using a khatri-rao subspace approach. ACSCC 2011: 2169-2173 - [c12]Arul-Murugan Ambikapathi, Tsung-Han Chan, Chong-Yung Chi, Kannan Keizer:
Two effective and computationally efficient pure-pixel based algorithms for hyperspectral endmember extraction. ICASSP 2011: 1369-1372 - [c11]Tsung-Han Chan, Wing-Kin Ma
An optimization perspective onwinter's endmember extraction belief. IGARSS 2011: 1143-1146 - [c10]Tsung-Han Chan, Chang-Jin Song, Arul-Murugan Ambikapathi, Chong-Yung Chi, Wing-Kin Ma
Fast alternating volume maximization algorithm for blind separation of non-negative sources. MLSP 2011: 1-6 - [c9]Tsung-Han Chan, Wing-Kin Ma, Arul-Murugan Ambikapathi, Chong-Yung Chi:
Robust endmember extraction using worst-case simplex volume maximization. WHISPERS 2011: 1-4 - 2010
- [j3]Fa-Yu Wang, Chong-Yung Chi, Tsung-Han Chan, Yue Joseph Wang:
Nonnegative Least-Correlated Component Analysis for Separation of Dependent Sources by Volume Maximization. IEEE Trans. Pattern Anal. Mach. Intell. 32(5): 875-888 (2010) - [c8]Arul-Murugan Ambikapathi, Tsung-Han Chan, Wing-Kin Ma
A robust minimum volume enclosing simplex algorithm for hyperspectral unmixing. ICASSP 2010: 1202-1205 - [c7]Arul-Murugan Ambikapathi, Tsung-Han Chan, Wing-Kin Ma, Chong-Yung Chi:
A robust alternating volume maximization algorithm for endmember extraction in hyperspectral images. WHISPERS 2010: 1-4 - [p1]Wing-Kin Ma, Tsung-Han Chan, Chong-Yung Chi, Yue Wang:
Convex analysis for non-negative blind source separation with application in imaging. Convex Optimization in Signal Processing and Communications 2010: 239-265
2000 – 2009
- 2009
- [j2]Tsung-Han Chan, Chong-Yung Chi, Yu-Min Huang, Wing-Kin Ma
A convex analysis-based minimum-volume enclosing simplex algorithm for hyperspectral unmixing. IEEE Trans. Signal Process. 57(11): 4418-4432 (2009) - [c6]Tsung-Han Chan, Chong-Yung Chi, Yu-Min Huang, Wing-Kin Ma
Convex analysis based minimum-volume enclosing simplex algorithm for hyperspectral unmixing. ICASSP 2009: 1089-1092 - [c5]Tsung-Han Chan, Wing-Kin Ma
Hyperspectral unmixing from a convex analysis and optimization perspective. WHISPERS 2009: 1-4 - 2008
- [j1]Tsung-Han Chan, Wing-Kin Ma
A Convex Analysis Framework for Blind Separation of Non-Negative Sources. IEEE Trans. Signal Process. 56(10-2): 5120-5134 (2008) - [c4]Tsung-Han Chan, Wing-Kin Ma
Blind separation of non-negative sources by convex analysis: Effective method using linear programming. ICASSP 2008: 3493-3496 - [c3]Li Chen, Tsung-Han Chan, Peter L. Choyke, Chong-Yung Chi, Ge Wang, Yue Joseph Wang:
Convex analysis and separation of composite signals in DCE-MRI. ISBI 2008: 1557-1560 - 2007
- [c2]Tsung-Han Chan, Wing-Kin Ma
A Convex Analysis Based Criterion for Blind Separation of Non-Negative Sources. ICASSP (3) 2007: 961-964 - 2006
- [c1]Fa-Yu Wang, Yue Joseph Wang, Tsung-Han Chan, Chong-Yung Chi:
Blind Separation of Multichannel Biomedical Image Patterns by Non-negative Least-Correlated Component Analysis. PRIB 2006: 151-162
Coauthor Index
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