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Vector quantization

Known as: VQ, Vector quantisation 
The density matching property of vector quantization is powerful, especially for identifying the density of large and high-dimensioned data. Since… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2008
Highly Cited
2008
Efficient Index-Based Audio Matching
Given a large audio database of music recordings, the goal of classical audio identification is to identify a particular audio… 
Highly Cited
2008
Highly Cited
2008
An Efficient Fast Algorithm to Generate Codebook for Vector Quantization
In this paper we present a very simple and yet effective algorithm to generate codebook. The algorithm uses sorting method to… 
Highly Cited
2007
Highly Cited
2007
A majority-voting based watermarking scheme for color image tamper detection and recovery
Highly Cited
2005
Highly Cited
2005
Genre Classification via an LZ78-Based String Kernel
We develop the notion of normalized information distance (NID) [7] into a kernel distance suitable for use with a Support Vector… 
Highly Cited
2004
Highly Cited
2004
Fragile image watermarking using a gradient image for improved localization and security
Highly Cited
1996
Highly Cited
1996
Modeling pH neutralization processes using fuzzy-neural approaches
Highly Cited
1995
Highly Cited
1995
Speaker recognition using hidden Markov models, dynamic time warping and vector quantisation
The authors evaluate continuous density hidden Markov models (CDHMM), dynamic time warping (DTW) and distortion-based vector… 
Highly Cited
1994
Highly Cited
1994
Fractal (self-VQ) encoding of video sequences
We present results of a scheme to encode video sequences of digital image data based on a quadtree still-image fractal method… 
Highly Cited
1988
Highly Cited
1988
Systolic architectures for vector quantization
A family of architectural techniques are proposed which offer efficient computation of weighted Euclidean distance measures for… 
Highly Cited
1987
Highly Cited
1987
BTC Image Coding Using Vector Quantization
This paper describes source encoding of the outputs of a block truncation coder (BTC), namely, the overhead statistical… 
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