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Personal profile

Personal profile

I obtained my BSc and PhD from UNSW in 1983 and 1988. Was a Research Associate at Princeton University in 1988/9. Research Fellow at the Australian Institute of Nuclear Science and Engineering (AINSE) located at James Cook University from 1989-1991.

Started at CSU in January 1992 on the Wagga Wagga Campus in the School of Science and Technology. Visiting Professor at the University of California, Davis in Jun-Dec 1995 (SSP). Moved to the Environment Studies Unit (ESU) in Bathurst in 2001. Was Acting Head of the ESU as it was closed down in 2002 and later in that year moved into the School of Information Technology. In 2007 the School merged with Accounting to form the School of Accounting and Computer Science. Visting Fellow at the University of NSW in Jan-Jun 2009 (SSP). In July 2009 moved into the newly formed cross campus School of Computing and Mathematics as Associate Head of School.

Michael began flying in 2005, obtained his Private Pilots Licence in 2007 and participates in Aerobatic Competitions since 2016.

Fingerprint Dive into the research topics where Michael Antolovich is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Research Output 1995 2019

  • 2740 Citations
  • 17 h-Index
  • 28 Conference paper
  • 24 Article
  • 1 Review article

A hybrid algorithm for low-rank approximation of nonnegative matrix factorization

Wang, P., He, Z., Xie, K., Gao, J., Antolovich, M. & Tan, B., 25 Jul 2019, In : Neurocomputing.

Research output: Contribution to journalArticle

Factorization
Decomposition
Least-Squares Analysis
Tensors
Noise

Sports highlights generation using decomposed audio information

Islam, M. R., Paul, M., Antolovich, M. & Kabir, A., 2019, IEEE International Conference on Multimedia and Expo. IEEE Xplore, p. 579-584 6 p.

Research output: Book chapter/Published conference paperConference paper

Sports
Musical instruments
Acoustic noise
Acoustic waves
Decomposition

Tensorizing restricted Boltzmann machine

Ju, F., Sun, Y., Gao, J., Antolovich, M., Dong, J. & Yin, B., Jul 2019, In : ACM Transactions on Knowledge Discovery from Data. 13, 3, 30.

Research output: Contribution to journalArticle

Tensors
Disasters
Feature extraction
Neural networks
Data storage equipment
1 Citation (Scopus)

A nonnegative projection based algorithm for low-rank nonnegative matrix approximation

Wang, P., He, Z., Xie, K., Gao, J. & Antolovich, M., 24 Oct 2017, Neural Information Processing - 24th International Conference, ICONIP 2017, Proceedings. Liu, D., Xie, S., Li, Y., Zhao, D. & El-Alfy, E-S. M. (eds.). Springer-Verlag London Ltd., p. 240-247 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10634 LNCS).

Research output: Book chapter/Published conference paperConference paper

Matrix Approximation
Low-rank Matrices
Nonnegative Matrices
Non-negative
Projection

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

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

Research output: Book chapter/Published conference paperConference paper

Maximum likelihood estimation