L1 LASSO Modeling and Its Bayesian Inference. - Junbin Gao; Michael Antolovich; Paul Wing Hing Kwan (Australasian Conference on Artificial Intelligence, 2008)

Novel methods for high-resolution facial image capture using calibrated PTZ and static cameras. - Richard Yi Da Xu; Junbin Gao; Michael Antolovich (ICME, 2008)

Application of Learning from Demonstration to a Mining Tunnel Inspection Robot. - Fenglu Ge; Wayne Moore; Michael Antolovich; Junbin Gao (RVSP, 2011)

3D motion estimation for 3D video coding. - Manoranjan Paul; Junbin Gao; Michael Antolovich (ICASSP, 2012)

Improving the Efficiency of Spiking Network Learning. - Vaenthan Thiruvarudchelvan; Wayne Moore; Michael Antolovich (ICONIP (2), 2013)

UND: Unite-and-Divide Method in Fourier and Radon Domains for Line Segment Detection. - Daming Shi 001; Junbin Gao; Payam S. Rahmdel; Michael Antolovich; Tony Clark 001 (IEEE Trans. Image Process., 2013)

Image Segmentation Using Dictionary Learning and Compressed Random Features. - Geoff Bull; Junbin Gao; Michael Antolovich (DICTA, 2014)

Convergence Problem in GMM Related Robot Learning from Demonstration. - Fenglu Ge; Wayne Moore; Michael Antolovich (MIKE, 2014)

Delineation of Rock Fragments by Classification of Image Patches using Compressed Random Features. - Geoff Bull; Junbin Gao; Michael Antolovich (VISAPP (1), 2014)

Rock Fragment Boundary Detection Using Compressed Random Features. - Geoff Bull; Junbin Gao; Michael Antolovich (VISIGRAPP (Selected Papers), 2014)

Learning from Demonstration Using GMM, CHMM and DHMM: A Comparison. - Fenglu Ge; Wayne Moore; Michael Antolovich (Australasian Conference on Artificial Intelligence, 2015)

Density estimation on Stiefel manifolds using matrix-Fisher model. - Muhammad Ali 005; Michael Antolovich; Boyue Wang (CISP-BMEI, 2016)

Recognition on Grassmann manifolds via parametric modelling. - Muhammad Ali 005; Michael Antolovich; Boyue Wang (CISP-BMEI, 2016)

MLE-Based Learning on Grassmann Manifolds. - Muhammad Ali 005; Junbin Gao; Michael Antolovich (DICTA, 2016)

Classification on Stiefel and Grassmann manifolds via maximum Likelihood estimation of matrix distributions. - Muhammad Ali 005; Junbin Gao; Michael Antolovich (IJCNN, 2016)

A Nonnegative Projection Based Algorithm for Low-Rank Nonnegative Matrix Approximation. - Peitao Wang; Zhaoshui He; Kan Xie; Junbin Gao; Michael Antolovich (ICONIP (1), 2017)

Sports Highlights Generation using Decomposed Audio Information. - Muhammad Rafiqul Islam; Manoranjan Paul; Michael Antolovich; Ashad Kabir (ICME Workshops, 2019)

Rain Streak Removal with Well-Recovered Moving Objects from Video Sequences Using Photometric Correlation. - Muhammad Rafiqul Islam; Manoranjan Paul; Michael Antolovich (PSIVT Workshops, 2019)

A hybrid algorithm for low-rank approximation of nonnegative matrix factorization. - Peitao Wang; Zhaoshui He; Kan Xie; Junbin Gao; Michael Antolovich; Beihai Tan (Neurocomputing, 2019)

Parametric Classification of Bingham Distributions Based on Grassmann Manifolds. - Muhammad Ali 005; Junbin Gao; Michael Antolovich (IEEE Trans. Image Process., 2019)

Tensorizing Restricted Boltzmann Machine. - Fujiao Ju; Yanfeng Sun; Junbin Gao; Michael Antolovich; Jun-Liang Dong; Baocai Yin (ACM Trans. Knowl. Discov. Data, 2019)