Recursive optimal pruning with applications to tree structured vector quantizers

IEEE Transactions on Image Processing ◽

10.1109/83.136593 ◽

1992 ◽

Vol 1 (2) ◽

pp. 162-169 ◽

Author(s):

S.-Z. Kiang ◽

R.L. Baker ◽

G.J. Sullivan ◽

C.-Y. Chiu

Keyword(s):

Vector Quantizers

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A note on the existence of optimal entropy-constrained vector quantizers

Proceedings IEEE International Symposium on Information Theory, ◽

10.1109/isit.2002.1023309 ◽

2003 ◽

Author(s):

A. Gyorgy ◽

T. Linder

Keyword(s):

Vector Quantizers

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Greedy tree growing algorithms for designing variable rate vector quantizers

IEEE International Conference on Acoustics Speech and Signal Processing ◽

10.1109/icassp.1993.319881 ◽

1993 ◽

Author(s):

W.J. Zeng ◽

Y.F. Huang ◽

S.C. Huang

Keyword(s):

Variable Rate ◽

Rate Vector ◽

Vector Quantizers

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A Comparison Of Growing And Pruning Balanced And Unbalanced Tree-structured Vector Quantizers

Proceedings. 1991 IEEE International Symposium on Information Theory ◽

10.1109/isit.1991.695305 ◽

2005 ◽

Author(s):

E.A. Riskin ◽

R.M. Gray

Keyword(s):

Vector Quantizers

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The distortion of vector quantizers trained on n vectors decreases to the optimum as O/sub p/(1/n)

Proceedings of 1994 IEEE International Symposium on Information Theory ◽

10.1109/isit.1994.395072 ◽

2002 ◽

Author(s):

P.A. Chou

Keyword(s):

Vector Quantizers

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Communication science & engineering A novel Memetic Algorithm for the design of vector quantizers

Innovation in Design, Communication and Engineering ◽

10.1201/b18737-25 ◽

2015 ◽

pp. 111-116

Keyword(s):

Memetic Algorithm ◽

Vector Quantizers

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Predicting heat-stressed EEG spectra by self-organising feature map and learning vector quantizers——SOFM and LVQ based stress prediction

Journal of Biomedical Science and Engineering ◽

10.4236/jbise.2010.35074 ◽

2010 ◽

Vol 03 (05) ◽

pp. 529-537 ◽

Author(s):

Prabhat Kumar Upadhyay ◽

Rakesh Kumar Sinha ◽

Bhuwan Mohan Karan

Keyword(s):

Feature Map ◽

Eeg Spectra ◽

Stress Prediction ◽

Vector Quantizers

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EEG Classification by Learning Vector Quantization - EEG-Klassifikation mit Hilfe eines Learning Vector Quantizers

Biomedical Engineering / Biomedizinische Technik ◽

10.1515/bmte.1992.37.12.303 ◽

1992 ◽

Vol 37 (12) ◽

pp. 303-309 ◽

Author(s):

D. Flotzinger ◽

J. Kalcher ◽

G. Pfurtscheller

Keyword(s):

Vector Quantization ◽

Learning Vector Quantization ◽

Eeg Classification ◽

Vector Quantizers

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Gradient match and side match fractal vector quantizers for images

IEEE Transactions on Image Processing ◽

10.1109/83.977877 ◽

2002 ◽

Vol 11 (1) ◽

pp. 1-9 ◽

Author(s):

H.T. Chang

Keyword(s):

Vector Quantizers

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Designing vector quantizers in the presence of source noise or channel noise

Proceedings of Data Compression Conference - DCC '96 ◽

10.1109/dcc.1996.488308 ◽

2002 ◽

Author(s):

T. Linder ◽

G. Lugosi ◽

K. Zeger

Keyword(s):

Channel Noise ◽

Vector Quantizers

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Design optimization of code-excited neural vector quantizers

Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan) ◽

10.1109/ijcnn.1993.716929 ◽

2005 ◽

Author(s):

Zhicheng Wang ◽

J.V. Hanson

Keyword(s):

Design Optimization ◽

Vector Quantizers

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