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Maximum likelihood estimation Engineering & Materials Science
Maximum Likelihood Estimation Mathematics
Grassmann Manifold Mathematics
Classifiers Engineering & Materials Science
Gaussian distribution Engineering & Materials Science
Experiments Engineering & Materials Science
Normalizing Constant Mathematics
Computer vision Engineering & Materials Science

Research Output 2016 2017

Classification on Grassmann Manifold via Scheiddegger-Watson Distribution using Bayesian Approach

Ali, M. & Antolovich, M. 02 Oct 2017 Proceedings - 2016 3rd International Conference on Soft Computing and Machine Intelligence, ISCMI 2016. IEEE, Institute of Electrical and Electronics Engineers, p. 28-32 5 p. 8057433

Research output: Research - peer-reviewConference paper

Normalizing Constant
Grassmann Manifold
Bayesian Approach
Maximum Likelihood Estimation
Maximum likelihood estimation
Bayes Theorem
Taylor series

Density estimation on Stiefel manifolds using matrix-Fisher model

Ali, M., Antolovich, M. & Wang, B. 13 Feb 2017 Proceedings - 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016. Wang, Y., An, J., Wang, L., Li, Q., Yan, G. & Chang, Q. (eds.). IEEE, Institute of Electrical and Electronics Engineers, p. 66-71 6 p. 7852683

Research output: Research - peer-reviewConference paper

Maximum likelihood estimation
Probability density function

Locality Preserving Projections for Grassmann Manifold

Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Haoran Chen, Muhammad Ali and Baocai Yin Aug 2017 (Accepted/In press) Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17).

Research output: Research - peer-reviewConference paper

Learning algorithms
Computer vision

Low Rank Representation on SPD matrices with Log-Euclidean metric

Wang, B., Hu, Y., Gao, J., Ali, M., Tien, D., Sun, Y. & Yin, B. 2017 (Accepted/In press) In : Pattern Recognition.

Research output: Research - peer-reviewArticle

Compressed sensing
Hilbert spaces
Computer vision
Pattern recognition