Imaging Science Projects
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Z. Jia, M. Ng and G. Song,
Robust Quaternion Matrix Completion with Applications to Image Inpainting, Numerical Linear Algebra with Applications
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Y. Huang, M. Ng and Y. Wen, A Fast Total Variation Minimization
Method for Image Restoration, SIAM Journal on Multiscale Modeling and
Simulation, V7 (2008), pp. 774-795
Codes: Fast TV Programs
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M. Nikolova, M. Ng and C. Tam, Fast Nonconvex Nonsmooth
Minimization
Methods for Image Restoration and Reconstruction, IEEE Transactions on
Image Processing, 19 (2010), pp. 3073-3088
Codes:
ReadMe.txt, demoFNNMM.m,
FNNMM1.m,
FNNMM2.m,
TwoCircles.tif
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Z. Jin and M. Ng, A Contrast Maximization Method for
Color-to-Grayscale Conversion,
Multidimensional Systems and Signal Processing, V26 (2015), pp. 869-877
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Z. Jin, Fang Li and M. Ng,
A Variational Approach for
Image Decolorization By Variance Maximization,
SIAM Journal on Imaging Sciences, V7 (2014), pp. 944-968,
Codes: Global Color-to-Grey Program
and
Local Color-to-Grey Program
Data Science Projects
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H. Zhu, L. Liao and M. Ng,
Multi-Instance Dimensionality Reduction via Sparsity and Orthogonality, Neural Computation
V30 (2018), pp. 3281-3308
Example and Codes
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C. Chuan, M. Ng and S. Zhang,
Block Spectral Clustering for Multiple Graphs with Inter-Relation,
Network Modeling Analysis in Health Informatics and Bioinformatics
6:8 (2017)
Codes and Datasets
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M. Ng, X. Li and Y. Ye,
MultiRank: Co-ranking for Objects and Relations in
Multi-relational Data (17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
August 21-24, 2011, San Diego, CA, pp. 1217-1225) and
UIC Lecture
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X. Li, M. Ng and Y. Ye,
HAR: Hub, Authority and Relevance Scores in Multi-relational
Data for Query Search (2012 SIAM International Conference on Data Mining, CA, pp. 141-152) and
Video Lecture at
The International Conference on Scientific Computing , In honor of Prof. Tony F. Chan at his 60th birthday for his contributions in
Scientific Computing, CUHK, January 4-7, 2012
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M. Ng, Q. Wu and Y. Ye,
Co-transfer Learning via Joint Transition Probability Graph Based
Method (The First International Workshop on
Cross Domain Knowledge Discovery in Web and Social Network Mining
18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Beijing, China)
and the journal version:
Co-Transfer Learning Using Coupled Markov Chains with Restart (IEEE Intelligent Systems)
- Multi-Transfer Learning: flower-tree dataset example:
ML-Learn MATLAB program and
datesets used: Cross-Language data and
Image-Text data
- CLUSTAG and WCLUSTAG:
*** CLUSTAG - A tag
SNP selection program (Bioinformatics, V21, pp. 1735-1736)
***
WCLUSTAG - An advanced tag SNP selection program
(Bioinformatics, V23, pp. 129-131)
***
SKM-SNP: SNP Markers Detection Method Website
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Sparse Fisher Discriminant Method Website
Visit DBLP and Google Scholar
