Vector Quantization using Artificial Neural Network Models

A.S. Galanopoulos; James E. Fowler; Stanley C. Ahalt

doi:10.1007/978-1-4471-1013-2_27

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Vector Quantization using Artificial Neural Network Models

A.S. Galanopoulos James E. Fowler Stanley C. Ahalt

Year: 1996 Information technology: transmission, processing and storage Pages: 346-357 Publisher: Springer Nature

DOI: 10.1007/978-1-4471-1013-2_27

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Keywords:

Vector quantization Linde–Buzo–Gray algorithm Codebook Encoder Computer science Artificial neural network Learning vector quantization Quantization (signal processing) Artificial intelligence ENCODE Entropy (arrow of time) Pattern recognition (psychology) Algorithm

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1.78

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Topics

Advanced Data Compression Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Vector Quantization using Artificial Neural Network Models

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Citation History

Topics

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