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2020 – today
- 2025
[j9]Tak-Shing T. Chan
, Alexander J. Gibberd:
Feasible model-based principal component analysis: Joint estimation of rank and error covariance matrix. Comput. Stat. Data Anal. 201: 108042 (2025)- 2024
- [j8]Luke Mosley, Tak-Shing T. Chan, Alex J. Gibberd:
The sparse dynamic factor model: a regularised quasi-maximum likelihood approach. Stat. Comput. 34(2): 68 (2024) - 2022
- [c7]Tak-Shing T. Chan, Alex J. Gibberd:
Identifying Metering Hierarchies with Distance Correlation and Dominance Constraints. ICMLA 2022: 1551-1558 - 2020
- [j7]Zhe-Cheng Fan, Tak-Shing T. Chan, Yi-Hsuan Yang, Jyh-Shing Roger Jang:
Backpropagation With $N$ -D Vector-Valued Neurons Using Arbitrary Bilinear Products. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2638-2652 (2020)
2010 – 2019
- 2019
- [c6]Zhe-Cheng Fan, Tak-Shing Chan, Yi-Hsuan Yang, Jyh-Shing Roger Jang:
Deep Cyclic Group Networks. IJCNN 2019: 1-8 - 2018
- [c5]Chia-An Yu, Ching-Lun Tai, Tak-Shing Chan, Yi-Hsuan Yang:
Modeling Multi-way Relations with Hypergraph Embedding. CIKM 2018: 1707-1710 - [i5]Tak-Shing T. Chan, Yi-Hsuan Yang:
Polar n-Complex and n-Bicomplex Singular Value Decomposition and Principal Component Pursuit. CoRR abs/1801.03773 (2018) - [i4]Tak-Shing T. Chan, Yi-Hsuan Yang:
Informed Group-Sparse Representation for Singing Voice Separation. CoRR abs/1801.03815 (2018) - [i3]Tak-Shing T. Chan, Yi-Hsuan Yang:
Complex and Quaternionic Principal Component Pursuit and Its Application to Audio Separation. CoRR abs/1801.03816 (2018) - [i2]Zhe-Cheng Fan, Tak-Shing T. Chan, Yi-Hsuan Yang, Jyh-Shing Roger Jang:
Backpropagation with N-D Vector-Valued Neurons Using Arbitrary Bilinear Products. CoRR abs/1805.09621 (2018) - 2017
- [j6]Tak-Shing Chan, Yi-Hsuan Yang:
Informed Group-Sparse Representation for Singing Voice Separation. IEEE Signal Process. Lett. 24(2): 156-160 (2017) - [c4]Chia-An Yu, Tak-Shing Chan, Yi-Hsuan Yang:
Low-Rank Matrix Completion over Finite Abelian Group Algebras for Context-Aware Recommendation. CIKM 2017: 2415-2418 - [i1]Zhe-Cheng Fan, Tak-Shing Chan, Yi-Hsuan Yang, Jyh-Shing Roger Jang:
Music Signal Processing Using Vector Product Neural Networks. CoRR abs/1706.09555 (2017) - 2016
- [j5]Tak-Shing Chan, Yi-Hsuan Yang:
Complex and Quaternionic Principal Component Pursuit and Its Application to Audio Separation. IEEE Signal Process. Lett. 23(2): 287-291 (2016) - [j4]Tak-Shing Chan, Yi-Hsuan Yang:
Polar $n$-Complex and $n$-Bicomplex Singular Value Decomposition and Principal Component Pursuit. IEEE Trans. Signal Process. 64(24): 6533-6544 (2016) - 2015
- [c3]Tak-Shing Chan, Tzu-Chun Yeh, Zhe-Cheng Fan, Hung-Wei Chen, Li Su, Yi-Hsuan Yang, Jyh-Shing Roger Jang:
Vocal activity informed singing voice separation with the iKala dataset. ICASSP 2015: 718-722 - 2013
- [j3]Ajay Kumar, Tak-Shing Chan:
Robust ear identification using sparse representation of local texture descriptors. Pattern Recognit. 46(1): 73-85 (2013) - 2012
- [j2]Tak-Shing Chan, Ajay Kumar:
Reliable ear identification using 2-D quadrature filters. Pattern Recognit. Lett. 33(14): 1870-1881 (2012) - [c2]Ajay Kumar, Tak-Shing Chan:
Iris recognition using quaternionic sparse orientation code (QSOC). CVPR Workshops 2012: 59-64 - [c1]Ajay Kumar, Tak-Shing Chan, Chun-Wei Tan:
Human identification from at-a-distance face images using sparse representation of local iris features. ICB 2012: 303-309 - 2010
- [j1]Benjamin Mitchinson, Tak-Shing Chan, Jonathan M. Chambers, Martin J. Pearson, Mark D. Humphries, Charles W. Fox, Kevin N. Gurney, Tony J. Prescott:
BRAHMS: Novel middleware for integrated systems computation. Adv. Eng. Informatics 24(1): 49-61 (2010)
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