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Personal profile

Personal profile

Currently Involved in research at Charles Sturt University.

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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Maximum likelihood estimation Engineering & Materials Science
Radar Engineering & Materials Science
Antioxidants Chemical Compounds
Liquid chromatography Chemical Compounds
Rocks Engineering & Materials Science
Olea europaea Agriculture & Biology
Motion estimation Engineering & Materials Science
Electrospray ionization Chemical Compounds

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Research Output 1995 2019

  • 2715 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

Least-Squares Analysis

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

Musical instruments
Acoustic noise
Acoustic waves

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

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

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