Michael Antolovich

Publication Activity (10 Years)

Years Active: 2008-2019
Publications (10 Years): 10

Top Topics

Nonnegative Matrix Factorization

Small Image Patches

Maximum Likelihood

Top Venues

IEEE Trans. Image Process.

Publications

Muhammad Rafiqul Islam, Manoranjan Paul, Michael Antolovich
Rain Streak Removal with Well-Recovered Moving Objects from Video Sequences Using Photometric Correlation. PSIVT Workshops (2019)
Muhammad Ali, Junbin Gao, Michael Antolovich
Parametric Classification of Bingham Distributions Based on Grassmann Manifolds. IEEE Trans. Image Process. 28 (12) (2019)
Muhammad Rafiqul Islam, Manoranjan Paul, Michael Antolovich, Ashad Kabir
Sports Highlights Generation using Decomposed Audio Information. ICME Workshops (2019)
Fujiao Ju, Yanfeng Sun, Junbin Gao, Michael Antolovich, Jun-Liang Dong, Baocai Yin
Tensorizing Restricted Boltzmann Machine. ACM Trans. Knowl. Discov. Data 13 (3) (2019)
Peitao Wang, Zhaoshui He, Kan Xie, Junbin Gao, Michael Antolovich, Beihai Tan
A hybrid algorithm for low-rank approximation of nonnegative matrix factorization. Neurocomputing 364 (2019)
Peitao Wang, Zhaoshui He, Kan Xie, Junbin Gao, Michael Antolovich
A Nonnegative Projection Based Algorithm for Low-Rank Nonnegative Matrix Approximation. ICONIP (1) (2017)
Muhammad Ali, Michael Antolovich, Boyue Wang
Density estimation on Stiefel manifolds using matrix-Fisher model. CISP-BMEI (2016)
Muhammad Ali, Michael Antolovich, Boyue Wang
Recognition on Grassmann manifolds via parametric modelling. CISP-BMEI (2016)
Muhammad Ali, Junbin Gao, Michael Antolovich
Classification on Stiefel and Grassmann manifolds via maximum Likelihood estimation of matrix distributions. IJCNN (2016)
Muhammad Ali, Junbin Gao, Michael Antolovich
MLE-Based Learning on Grassmann Manifolds. DICTA (2016)
Fenglu Ge, Wayne Moore, Michael Antolovich
Learning from Demonstration Using GMM, CHMM and DHMM: A Comparison. Australasian Conference on Artificial Intelligence (2015)
Fenglu Ge, Wayne Moore, Michael Antolovich
Convergence Problem in GMM Related Robot Learning from Demonstration. MIKE (2014)
Geoff Bull, Junbin Gao, Michael Antolovich
Image Segmentation Using Dictionary Learning and Compressed Random Features. DICTA (2014)
Geoff Bull, Junbin Gao, Michael Antolovich
Delineation of Rock Fragments by Classification of Image Patches using Compressed Random Features. VISAPP (1) (2014)
Geoff Bull, Junbin Gao, Michael Antolovich
Rock Fragment Boundary Detection Using Compressed Random Features. VISIGRAPP (Selected Papers) (2014)
Daming Shi, Junbin Gao, Payam S. Rahmdel, Michael Antolovich, Tony Clark
UND: Unite-and-Divide Method in Fourier and Radon Domains for Line Segment Detection. IEEE Trans. Image Process. 22 (6) (2013)
Vaenthan Thiruvarudchelvan, Wayne Moore, Michael Antolovich
Improving the Efficiency of Spiking Network Learning. ICONIP (2) (2013)
Manoranjan Paul, Junbin Gao, Michael Antolovich
3D motion estimation for 3D video coding. ICASSP (2012)
Fenglu Ge, Wayne Moore, Michael Antolovich, Junbin Gao
Application of Learning from Demonstration to a Mining Tunnel Inspection Robot. RVSP (2011)
Richard Yi Da Xu, Junbin Gao, Michael Antolovich
Novel methods for high-resolution facial image capture using calibrated PTZ and static cameras. ICME (2008)
Junbin Gao, Michael Antolovich, Paul Wing Hing Kwan
L1 LASSO Modeling and Its Bayesian Inference. Australasian Conference on Artificial Intelligence (2008)