# Tsung-Han Chan's Publications (Google )

**Submitted Journal/Conference Papers:**(* corresponding author)

- Y. Zhang*, K. Jia, Y. Wang, G. Pan,
__T.-H. Chan__and Y. Ma, "Robust face recognition by constrained part-based alignment," submitted to*International Journal of Computer Vision*(under review). [ArXiv]

**Journal Papers:**(* corresponding author)

- X. Fu, W.-K. Ma, J. M. Bioucas-Dias, and
__T.-H. Chan__, "Semiblind hyperspectral unmixing in the presence of spectral library mismatches," to appear in*IEEE Trans. Geoscience and Remote Sensing*, 2016 . [ArXiv] - S. Gao*, Z. Zeng, K. Jia,
__T.-H. Chan__, and Y. Ma, "Patch set based representation for alignment-free image set classification," to appear in*IEEE Trans. Circuits and Systems for Video Technology*, 2016. - C.-H. Lin, C.-Y. Chi, Y.-H. Wang and
__T.-H. Chan__, "A fast hyperplane-based minimum-volume enclosing simplex algorithm for blind hyperspectral unmixing,"*IEEE Trans. Signal Processing*, vol. 64, no. 8, pp. 1946-1961, April 2016. - K. Jia*,
__T.-H. Chan__, Z. Zeng, S. Gao, G. Wang, T. Zhang, and Y. Ma, "ROML: A robust feature correspondence approach for matching objects in a set of images,"*International Journal of Computer Vision, Sept. 2015*. [ArXiv] - A. Ambikapathi*,
__T.-H. Chan__, C.-H. Lin, F.-S. Yang, C.-Y. Chi, and Y. Wang, "Convex optimization-based compartmental pharmacokinetic analysis for prostate tumor characterization using DCE-MRI,"*IEEE Trans. Biomedical Engineering*, vol. 63, no. 4, pp. 707-720, April 2016. __T.-H. Chan*__, K. Jia, S. Gao, J. Lu, Z. Zeng, and Y. Ma, "PCANet: A simple deep learning baseline for image classification?"*IEEE Trans. Image Processing,*vol. 24, no. 12, pp. 5017-5032, Dec. 2015. [ArXiv] (Source Code).- X. Fu, W.-K. Ma*,
__T.-H. Chan__, and J. M. Bioucas-Dias, "Self-dictionary sparse regression for hyperspectral unmixing: Greedy pursuit and pure pixel search are related,"*IEEE Journal of Selected Topics in Signal Processing*, vol. 9, no. 6, pp. 1128-1141, Sept. 2015. [ArXiv] (Source Code) - L. Zhuang,
__T.-H. Chan__, Allen Y. Yang*, S. S. Sastry, and Y. Ma, "Sparse illumination learning and transfer for single-sample face recognition with image corruption and misalignment,"*International Journal of Computer Vision*, vol. 114, no. 2, pp. 272-287, Sept. 2015. [ArXiv] (Source Code) __T.-H. Chan*__, K. Jia, E. Wycoff, and Y. Ma, "MMSE design of time and color multiplexing codes,"*IEEE Trans. Signal Processing*, vol. 62, no. 5, pp. 1157-1170, Mar. 2014.- W.-K. Ma*, J. M. Bioucas-Dias,
__T.-H. Chan__, N. Gillis, P. Gader, A. Plaza, A. Ambikapathi, and C.-Y. Chi, "An signal processing perspective on hyperspectral unmixing,"*IEEE Signal Processing Magazine*, vol. 31, no. 1, pp. 67-81, Jan. 2014. - K.-K. Lee, W.-K Ma*, X. Fu,
__T.-H. Chan__, and C.-Y. Chi, "A Khatri-Rao subspace approach to blind identification of mixtures of quasi-stationary sources,"*Signal Processing - Special Issue on Advances in Sensor Array Processing*, vol. 93, no. 12, pp. 3515-3527, Dec. 2013. __T.-H. Chan__*, A. Ambikapathi, W.-K. Ma, and C.-Y. Chi, “Robust affine set fitting and fast simplex volume max-min for hyperspectral endmember extraction,”*IEEE Trans. Geoscience and Remote Sensing,*vol. 51, no. 7, pp. 3982 - 3997, July, 2013. (Source Code)- A. Ambikapathi,
__T.-H. Chan__*, C.-Y. Chi, and K. Keizer, “Hyperspectral data geometry based estimation of number of endmembers using p−norm based pure pixel identification,”*IEEE Trans. Geoscience and Remote Sensing*, vol. 51, no. 5, pp. 2753-2769, May 2013. (Source Code) - Y.-C. Lin,
__T.-H. Chan__, C.-Y. Chi, S.-H. Ng, H.-L. Liu, K.-C. Wei, Y.-Y. Wai, C.-C. Wang and J.-J. Wang*, "Blind estimation of arterial input function in dynamic contrast-enhanced MRI using purity maximization,"*Magnetic Resonance in Medicine*, vol. 68, no. 5, pp. 1439-1449, Nov. 2012. (supporting materials) - L. Chen**,
__T.-H. Chan__**, P. L. Choyke, E. M. C. Hillman, Z. M. Bhujwalla, C.-Y. Chi, G. Wang, Z. Szabo, Y. Wang*, " CAM-CM: A signal deconvolution tool for In vivo dynamic contrast-enhanced imaging of complex tissues,"*Bioinformatics*, vol. 27, no. 18, pp. 2607-2609, 2011 (** contributed equally). (supplementary inf.) - L. Chen, P. L. Choyke,
__T.-H. Chan__, C.-Y. Chi, G. Wang, and Y. Wang*, "Tissue-specific compartmental analysis for dynamic contrast-enhanced MR imaging of complex tumors,"*IEEE Trans. Medical Imaging*, vol. 30, no. 12, pp. 2044-2058, Dec. 2011. - A. Ambikapathi,
__T.-H. Chan__*, W.-K. Ma, and C.-Y. Chi, “Chance constrained robust minimum volume enclosing simplex algorithm for hyperspectral unmixing,”*IEEE Trans. Geoscience and Remote Sensing – Special Issue on Spectral Unmixing of Remotely Sensed Data,*vol. 49, no. 11, pp. 4194-4209, Nov. 2011. (Source Code) __T.-H. Chan__, W.-K. Ma*, A. Ambikapathi, and C.-Y. Chi, “A simplex volume maximization framework for hyperspectral endmember extraction,”*IEEE Trans. Geoscience and Remote Sensing – Special Issue on Spectral Unmixing of Remotely Sensed Data,*vol. 49, no. 11, pp. 4177-4193, Nov. 2011. (Source Code)- F.-Y. Wang*, C.-Y. Chi,
__T.-H. Chan__, and Y. Wang, “Nonnegative least correlated component analysis for separation of dependent sources by volume maximization,”*IEEE Trans. Pattern Analysis and Machine Intelligence*, vol. 32, no. 5, pp. 875-888, May 2010. (Source Code) __T.-H. Chan__, C.-Y. Chi*, Y.-M. Huang, and W.-K. Ma, “A convex analysis based minimum-volume enclosing simplex algorithm for hyperspectral unmixing,”*IEEE Trans. Signal Processing*, vol. 57, no. 11, pp. 4418-4432, Nov. 2009. (Source Code) (Highly Cited Paper by ISI Essential Science Indicator)__T.-H. Chan__, W.-K. Ma*, C.-Y. Chi and Y. Wang, “A convex analysis framework for blind separation of non-negative sources,”*IEEE Trans. Signal Processing*, vol. 56, no. 10, pp. 5120–5134, Oct. 2008. (Source Code).

**Book Chapters:**

- W.-K. Ma,
__T.-H. Chan__, C.-Y. Chi, and Y. Wang,*Convex analysis for non-negative blind source separation with application in imaging*, in Chapter 7, Convex Optimization in Signal Processing and Communications, Editors: D. P. Palomar and Y. C. Eldar, UK: Cambridge University Press, 2010. (Source Code)

**Conference Papers:**

- C.-H. Lin, C.-Y. Chi, Y.-H. Wang and
__T.-H. Chan__, "A fast hyperplane-based MVES algorithm for hyperspectral unmixing," in*IEEE ICASSP,*2015. - F. Xiao, W.-K. Ma, J. M. Biocucas-Dias, and
__T.-H. Chan__, "A robust subspace method for semiblind dictionary-aided hyperspectral unmixing," in*IEEE WHISPERS*, 2014. - L. Sun, K. Jia,
__T.-H. Chan__, Y. Fang, and S. Yan, "Deeply-learned slow feature analysis for action recognition," in*IEEE CVPR*, 2014. - Y. Ai, W. Li,
__T.-H. Chan__, and Q. Liao, "Removal of bleed-through effect via nonnegative least-correlation," in*IEEE ICASSP*, 2014. - F. Xiao, W.-K. Ma,
__T.-H. Chan__, J. M. Bioucas-Dias, and M.-D. Iordache, "Greedy algorithms for pure pixels identification in hyperspectral unmixing: A multiple-measuerment vector viewpoint," in*EUSIPCO*, 2013. - Y. Chuo,
__T.-H. Chan__, and M.-L. Li, "Compressed sensing study: reconstruction on different ultrasound imaging stages," in*IEEE International Ultrasonics Symposium (IUS)*, 2013. - (Invited paper) A. Ambikapathi,
__T.-H. Chan__, C.-H. Lin and C.-Y. Chi, "Convex geometry based outlier-insensitive estimation of number of endmembers in hyperspectral images," in*IEEE WHISPERS*, 2013. - Eliot Wycoff,
__T.-H. Chan__, K. Jia, W.-K. Ma and Y. Ma, "A non-negative sparse promoting algorithm for high resolution hyperspectral imaging," in*IEEE ICASSP*, 2013. - Z. Zeng, X. Jie, K. Jia,
__T.-H. Chan__, S. Guo, X. Dong, and Y. Ma, “Learning by associating ambiguously labeled images,” in*IEEE CVPR*, 2013. - Kui Jia,
__T.-H. Chan__, and Yi Ma, "Robust and practical face recognition via structured sparsity," The European Conference on Computer Vision (ECCV), Firenze, Italy, Oct. 7-13, 2012. __T.-H. Chan__, Kui Jia, Eliot Wycoff, Chong-Yung Chi and Yi Ma, "Towards optimal design of time and color multiplexing codes," The European Conference on Computer Vision (ECCV), Firenze, Italy, Oct. 7-13, 2012.- Zinan Zeng,
__T.-H. Chan__, Kui Jia, and Dong Xu, "Finding correspondence from multiple images via sparse and low-rank decomposition," The European Conference on Computer Vision (ECCV), Firenze, Italy, Oct. 7-13, 2012. - (Invited paper) H.-E. Huang,
__T.-H. Chan__, A. Ambikapathi, W.-K. Ma, and C.-Y. Chi, "Outlier-robust dimension reduction and its impact on hyperspectral endmember extraction," in*IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS),*Shanghai, China, June 5-7, 2012.(Source Code) - Y.-S. Shen,
__T.-H. Chan__, SeBastien Bourguignon and C.-Y. Chi, "Spatial-spectral unmixing of hyperspectral data for detection and analysis of astrophysical sources with the MUSE instrument," in*IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS),*Shanghai, China, June 5-7, 2012. - A. Ambikapathi,
__T.-H. Chan__, K. Keizer, F.-S. Yang, and C.-Y. Chi, "An nBSS algorithm for pharmacokinetic analysis of prostate cancer using DCE-MR images," in*IEEE**International Symposium on Biomedical Imaging: From Nano to Macro (ISBI)*, Barcelona, Spain, May 2-5, 2012. - Ambikapathi,
__T.-H. Chan__, and C.-Y. Chi, “Convex geometry based estimation of number of endmembers in hyperspectral images,” in*IEEE ICASSP*, Kyoto, Japan, Mar. 25-30, 2012. __T.-H. Chan__, J.-Y. Liou, A. Ambikapathi, W.-K. Ma and C.-Y. Chi, “Fast algorithms for robust hyperspectral endmember extraction based on worst-case simplex volume maximization,” in*IEEE ICASSP*, Kyoto, Japan, Mar. 25-30, 2012. (Source Code)__T.-H. Chan__, C.-J. Song, A. Ambikapathi, C.-Y. Chi, and W.-K. Ma, "Fast alternating volume maximization algorithm for blind separation of non-negative sources," in*Proc. IEEE International Workshop on Machine Learning for Signal Processing (MLSP)*, Beijing, China, Sept. 18-21, 2011.- K.-K. Lee, W.-K. Ma, Y.-L. Chiou,
__T.-H. Chan__, and C.-Y. Chi, "Blind identification of mixtures of quasi-stationary sources using a Khatri-Rao subspace approach," in*Asilomar Conference on Signals, Systems, and Computers*, Pacific Glove, CA, USA, Nov. 6-9, 2011. - (Best paper award)
__T.-H. Chan__, W.-K. Ma, A. Ambikapathi, and C.-Y. Chi, "Robust endmember extraction using worst-case simplex volume maximization," in*Proc. IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)*, Lisbon, Portugal, June 6-9, 2011. (Source Code) -
(Invited paper)
__T.-H. Chan__, W.-K. Ma, A. Ambikapathi, and C.-Y. Chi, “An optimization perspective on Winter's endmember extraction belief,” in*Proc.**IEEE International Geoscience and Remote Sensing Symposium (IGARSS'11)*, Sendai, Japan, Aug. 1-5, 2011. - A. Ambikapathi,
__T.-H. Chan__, C.-Y. Chi, and K. Keizer, "Two effective and computationally efficient pure-pixel based algorithms for hyperspectral endmember extraction," in*IEEE ICASSP*, Prague, Czech Republic, May 22-27, 2011. - A. Ambikapathi,
__T.-H. Chan__, W.-K. Ma, and C.-Y. Chi, “A robust alternating volume maximization algorithm for endmember extraction in hyperspectral images,” in*Proc. Second IEEE WHISPERS*, Reykjavik, Iceland, June 14-16*,*2010. - A. Ambikapathi,
__T.-H. Chan__, W.-K. Ma, and C.-Y. Chi, “A robust minimum-volume enclosing simplex algorithm for hyperspectral unmixing,” in*Proc. IEEE ICASSP*, Dallas, Texas, Mar. 14-19, 2010, pp. 1202-1205. (Source Code) - (Invited paper)
__T.-H. Chan__, W.-K. Ma, C.-Y. Chi, and A. Ambikapathi, “Hyperspectral unmixing from a convex analysis and optimization perspective,” in*Proc. First IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS),*Grenoble, France, August 26-28, 2009, pp. 1-4.*(slides)* __T.-H. Chan__, C.-Y. Chi, Y.-M. Huang and W.-K. Ma, “A convex analysis based minimum-volume enclosing simplex algorithm for hyperspectral unmixing,” in*Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)*, Taipei, Taiwan, April 19-24, 2009, pp. 1089-1092. (Source Code)- Yitan Zhu,
__T.-H. Chan__, E. P. Hoffman, and Y. Wang, “Gene expression dissection by non-negative well-grounded source separation,” in*Proc. 2008 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)*, Cancun, Mexico, Oct. 16-19, 2008, pp. 255-260. - L. Chen,
__T.-H. Chan__, P. L. Choyke, C.-Y. Chi, G. Wang, and Y. Wang, “Convex analysis and separation of composite signals in DCE-MRI,” in*Proc. 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI)*, Paris, France, May 14-17, 2008, pp. 1557-1560. __T.-H. Chan__, L. Chen, P. L. Choyke, C.-Y. Chi, G. Wang, and Y. Wang, “Convex analysis for separation of functional patterns in DCE-MRI: A longitudinal study to antiangiogenic therapy,” in*Proc. IEEE International Workshop on Machine Learning for Signal Processing (MLSP)*, Cancun, Mexico, Oct. 16-19, 2008, pp. 261-266.__T.-H. Chan__, W.-K. Ma, C.-Y. Chi, and Y. Wang, “Blind separation of non-negative sources by convex analysis: Effective method using linear programming,” in*Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)*, Las Vegas, Nevada, March 30-April 4, 2008, pp. 3493-3496.-
__T.-H. Chan__, W.-K. Ma, C.-Y. Chi, and Y. Wang, “A convex analysis based criterion for blind separation of non-negative sources,” in*Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)*, Honolulu, Hawaii, April 15-20, 2007, pp. 961-964. - F.-Y. Wang, C.-Y. Chi,
__T.-H. Chan__, and Y. Wang, “Blind separation of positive dependent sources by non-negative least-correlated component analysis,” in*Proc. IEEE International Workshop on Machine Learning for Signal Processing (MLSP)*, Maynooth, Ireland, Sept. 6-8, 2006, pp. 73-78. - F.-Y. Wang, Y. Wang,
__T.-H. Chan__, and C.-Y. Chi, “Blind separation of multichannel biomedical image patterns by non-negative least-correlated component analysis,” in*Lecture Notes in Bioinformatics (Proc. PRIB’06)*, LNBI 4146, pp. 151-162, Springer-Verlag, Berlin, 2006.

**Patent:**

- J.-J. Wang, Y.-C. Lin,
__T.-H. Chan__, C.-Y. Chi, S.-H. Ng, and Y.-Y. Wai, “Method for extracting arterial input function and application thereof to dynamic contrast enhanced magnetic resonance imaging ,” US Patent 20140241604, Aug. 28, 2014.

**Ph.D. dissertation:**

__Tsung-Han Chan__,*Convex Analysis Based Non-negative Blind Source Separation for Biomedical and Hyperspectral Image Analysis,*Institute of Communications Engineering, NTHU, July, 2009. Abstract, Dissertation & Slides.