Sze Kim Pang

According to our database, Sze Kim Pang authored at least 19 papers between 2006 and 2015.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2015

Comparative Analysis of Covariance Matrix Estimation for Anomaly Detection in Hyperspectral Images.

Santiago Velasco-Forero, Marcus Chen, Alvina Goh, Sze Kim Pang

IEEE J. Sel. Top. Signal Process., 2015

2014

Overview of Bayesian sequential Monte Carlo methods for group and extended object tracking.

Lyudmila Mihaylova, Avishy Carmi, François Septier, Amadou Gning, Sze Kim Pang, Simon J. Godsill

Digit. Signal Process., 2014

A comparative analysis of covariance matrix estimation in anomaly detection.

Santiago Velasco-Forero, Marcus Chen, Alvina Goh, Sze Kim Pang

Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

Anomaly detection and important bands selection for hyperspectral images via sparse PCA.

Santiago Velasco-Forero, Marcus Chen, Alvina Goh, Sze Kim Pang

Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

2013

Efficient Empirical Reflectance Retrieval in Urban Environments.

Marcus Chen, Kai Ling Cheryl Seow, Xavier Briottet, Sze Kim Pang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013

A Diffusion Process on Riemannian Manifold for Visual Tracking

Marcus Chen, Cham Tat Jen, Sze Kim Pang, Alvina Goh

CoRR, 2013

Inferring Leadership from Group Dynamics Using Markov Chain Monte Carlo Methods.

Avishy Y. Carmi, Lyudmila Mihaylova, François Septier, Sze Kim Pang, Pini Gurfil, Simon J. Godsill

Proceedings of the Modeling, Simulation and Visual Analysis of Crowds, 2013

2012

Spectral BRDF of common urban materials.

Kai Ling Cheryl Seow, M. Doya, Xavier Briottet, Romain Ceolato, Nicolas Rivière, Sze Kim Pang

Proceedings of the 4th Workshop on Hyperspectral Image and Signal Processing, 2012

A class of robust estimates for detection in hyperspectral images using elliptical distributions background.

Joana Frontera-Pons, Mélanie Mahot, Jean Philippe Ovarlez, Frédéric Pascal, Sze Kim Pang, Jocelyn Chanussot

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011

Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods.

Amadou Gning, Lyudmila Mihaylova, Simon Maskell, Sze Kim Pang, Simon J. Godsill

IEEE Trans. Signal Process., 2011

Detection and Tracking of Coordinated Groups.

Sze Kim Pang, Jack Li, Simon J. Godsill

IEEE Trans. Aerosp. Electron. Syst., 2011

Robust detection using the SIRV background modelling for hyperspectral imaging.

Jean Philippe Ovarlez, Sze Kim Pang, Frédéric Pascal, Véronique Achard, T. K. Ng

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

MCMC-based tracking and identification of leaders in groups.

Avishy Carmi, Lyudmila Mihaylova, François Septier, Sze Kim Pang, Pini Gurfil, Simon J. Godsill

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Visual tracking with generative template model based on Riemannian manifold of covariances.

Marcus Chen, Sze Kim Pang, Cham Tat Jen, Alvina Goh

Proceedings of the 14th International Conference on Information Fusion, 2011

2009

Video Tracking Using Dual-Tree Wavelet Polar Matching and Rao-Blackwellised Particle Filter.

Sze Kim Pang, James D. B. Nelson, Simon J. Godsill, Nick G. Kingsbury

EURASIP J. Adv. Signal Process., 2009

2008

Tracking ground based targets in aerial video with dual-tree wavelet polar matching and particle filtering.

James D. B. Nelson, Sze Kim Pang, Nick G. Kingsbury, Simon J. Godsill

Proceedings of the 11th International Conference on Information Fusion, 2008

Ground target group structure and state estimation with particle filtering.

Amadou Gning, Lyudmila Mihaylova, Simon Maskell, Sze Kim Pang, Simon J. Godsill

Proceedings of the 11th International Conference on Information Fusion, 2008

2007

Multitarget Initiation, Tracking and Termination Using Bayesian Monte Carlo Methods.

William Ng, Jack Li, Simon J. Godsill, Sze Kim Pang

Comput. J., 2007

2006

Efficient variable rate particle filters for tracking manoeuvring targets using an MRF-based motion model.

William Ng, Sze Kim Pang, Jack Li, Simon J. Godsill

Proceedings of the 14th European Signal Processing Conference, 2006