E. Zelniker

A Unified Bayesian Framework for Adaptive Visual Tracking

Shaogang Gong, Tao Xiang, Timothy M. Hospedales, 2009, BMVC.

Global Abnormal Behaviour Detection Using a Network of CCTV Cameras

S. Gong, T. Xiang, E. Zelniker, 2008 .

Maximum-Likelihood Circle-Parameter Estimation via Convolution

I. Vaughan L. Clarkson, Emanuel Zelniker, E. Zelniker, 2003, DICTA.

Detection and vectorization of roads from lidar data

E. Zelniker, F. Rottensteiner, S. Clode, 2007 .

A generalisation of the Delogne-Kasa method for fitting hyperspheres

E. Zelniker, I. Clarkson, 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

A statistical analysis of the Delogne-Kåsa method for fitting circles

I. Vaughan L. Clarkson, Emanuel Zelniker, E. Zelniker, 2006, Digit. Signal Process..

A statistical analysis of least-squares circle-centre estimation

I.V.L. Clarkson, E. Zelniker, I. Clarkson, 2003, Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795).

Approximate maximum-likelihood estimation of circle parameters using a Phase-Coded Kernel

I. Vaughan L. Clarkson, Emanuel E. Zelniker, E. Zelniker, 2004, 2004 12th European Signal Processing Conference.

Radon transform processing for accurate centreline estimation of thick lines

I. Vaughan L. Clarkson, Emanuel Zelniker, E. Zelniker, 2005, Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005..

Estimation of neuronal firing rates with the three-state biological point process model

Andrew P. Bradley, Helen J. Chenery, Peter A. Silburn, 2008, Journal of Neuroscience Methods.