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vector quantization

   Also found in: Acronyms, Wikipedia 0.01 sec.
vector quantization [¦vek·tər ‚kwän·tə′zā·shən]
(computer science)
A data compression technique in which a finite sequence of values is presented as resembling the template (from among the choices available to a given codebook) that minimizes a distortion measure.


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7,502,519, covering systems and methods for image pattern recognition using vector quantization (VQ).
Topics addressed in the technical sessions include lossless compression algorithms, source and multiple description coding, quantization theory, vector quantization, encoding with wavelets, bi-level image compression, and video and audio compression.
In this section, we will describe three classical neural network models: Learning Vector Quantization (LVQ), Probabilistic Neural Network (PNN), and Feedforward network with backpropagation learning.
 
 
 
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