Robust image classification based on a non-causal hidden Markov Gauss mixture model. - Kyungsuk Pyun; Chee Sun Won; Johan Lim; Robert M. Gray (ICIP (3), 2002)

Automatic object segmentation in images with low depth of field. - Chee Sun Won; Kyungsuk Pyun; Robert M. Gray (ICIP (3), 2002)

Texture classification based on multiple Gauss mixture vector quantizers. - Kyungsuk Pyun; Chee Sun Won; Johan Lim; Robert M. Gray (ICME (2), 2002)

Image Classification using GMM with Context Information and with a Solution of Singular Covariance Problem. - Sangho Yoon; Chee Sun Won; Kyungsuk Pyun; Robert M. Gray (DCC, 2003)

Lloyd clustering of Gauss mixture models for image compression and classification. - Anuradha K. Aiyer; Kyungsuk Pyun; Ying-zong Huang; Deirdre B. O'Brien; Robert M. Gray (Signal Process. Image Commun., 2005)

Image Segmentation Using Hidden Markov Gauss Mixture Models. - Kyungsuk Pyun; Johan Lim; Chee Sun Won; Robert M. Gray (IEEE Trans. Image Process., 2007)

A covariance adjustment method in compressed domain for noisy image segmentation. - Kyungsuk Pyun; Johan Lim; Robert M. Gray (ICIP, 2008)

Cost-Effective Hidden Markov Model-Based Image Segmentation. - Johan Lim; Kyungsuk Pyun (IEEE Signal Process. Lett., 2009)

A Robust Hidden Markov Gauss Mixture Vector Quantizer for a Noisy Source. - Kyungsuk Pyun; Johan Lim; Robert M. Gray (IEEE Trans. Image Process., 2009)