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A Robust Hidden Markov Gauss Mixture Vector Quantizer for a Noisy Source

IEEE transactions on image processing, 2009-07, Vol.18 (7), p.1385-1394

2009

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Cost-Effective Hidden Markov Model-Based Image Segmentation

IEEE signal processing letters, 2009-03, Vol.16 (3), p.172-175

2009

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Image Segmentation Using Hidden Markov Gauss Mixture Models

IEEE transactions on image processing, 2007-07, Vol.16 (7), p.1902-1911

2007

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Electrically Driven Diffraction Grating Designed for Visible-Wavelength Region

IEEE electron device letters, 2013-01, Vol.34 (1), p.84-86

2013

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Lloyd clustering of Gauss mixture models for image compression and classification

Signal processing. Image communication, 2005-06, Vol.20 (5), p.459-485

2005

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Resolution enhancement of holographic printer using a hogel overlapping method

Optics express, 2013-06, Vol.21 (12), p.14047-14055

2013

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A covariance adjustment method in compressed domain for noisy image segmentation

2008 15th IEEE International Conference on Image Processing, 2008, p.2268-2271

2008

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An autocorrelator based on a Fabry-Perot interferometer

Optics express, 2013-01, Vol.21 (1), p.70-78

2013

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On Gauss Mixture Vector Quantizers and Gabor Wavelet Classifiers for Texture Classification

Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005, 2005, p.1222-1225

2005

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Toward a compact, full-color holographic printer

SPIE newsroom, 2013-04

Pyun, Kyungsuk

2013

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High-performance photorefractive polymer composites based on poly(9-vinyl-3-carbazolcarboxyaldehyde diphenylhydrazone)

Macromolecular Research, 2012, 20(11), , pp.1118-1120

2012

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Hyper-Parameter in Hidden Markov Random Field

응용통계연구, 2011, 24(1), , pp.177-183

2011

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Classification and segmentation of images using hidden Markov Gauss mixture models

Pyun, Kyungsuk

2003

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Hidden Markov multiresolution texture segmentation using complex wavelets

10th International Conference on Telecommunications, 2003. ICT 2003, 2003, Vol.2, p.1624-1630 vol.2

2003

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Image classification using GMM with context information and with a solution of singular covariance problem

Data Compression Conference, 2003. Proceedings. DCC 2003, 2003, p.457

2003

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Texture classification based on multiple Gauss mixture vector quantizers

Proceedings. IEEE International Conference on Multimedia and Expo, 2002, Vol.2, p.501-504 vol.2

2002

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Automatic object segmentation in images with low depth of field

Proceedings. International Conference on Image Processing, 2002, Vol.3, p.805-808 vol.3

2002

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Robust image classification based on a non-causal hidden Markov Gauss mixture model

Proceedings. International Conference on Image Processing, 2002, Vol.3, p.785-788 vol.3

2002

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A Robust Hidden Markov Gauss Mixture Vector Quantizer for a Noisy Source

Cost-Effective Hidden Markov Model-Based Image Segmentation

Image Segmentation Using Hidden Markov Gauss Mixture Models

Electrically Driven Diffraction Grating Designed for Visible-Wavelength Region

Lloyd clustering of Gauss mixture models for image compression and classification

Resolution enhancement of holographic printer using a hogel overlapping method

A covariance adjustment method in compressed domain for noisy image segmentation

An autocorrelator based on a Fabry-Perot interferometer

On Gauss Mixture Vector Quantizers and Gabor Wavelet Classifiers for Texture Classification

Toward a compact, full-color holographic printer

High-performance photorefractive polymer composites based on poly(9-vinyl-3-carbazolcarboxyaldehyde diphenylhydrazone)

Hyper-Parameter in Hidden Markov Random Field

Classification and segmentation of images using hidden Markov Gauss mixture models

Hidden Markov multiresolution texture segmentation using complex wavelets

Image classification using GMM with context information and with a solution of singular covariance problem

Texture classification based on multiple Gauss mixture vector quantizers

Automatic object segmentation in images with low depth of field

Robust image classification based on a non-causal hidden Markov Gauss mixture model

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