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… (More)
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
Deep convolutional neural networks (CNN) has become the most promising method for object recognition, repeatedly demonstrating… (More)
  • figure 1
  • figure 3
  • figure 4
  • figure 5
  • table 1
Is this relevant?
Highly Cited
2011
Highly Cited
2011
While vector quantization (VQ) has been applied widely to generate features for visual recognition problems, much recent work has… (More)
  • table 1
  • table 3
  • table 2
  • table 4
  • figure 1
Is this relevant?
Highly Cited
2001
Highly Cited
2001
The problem of optimal sequential vector quantization of Markov sources is cast as a stochastic control problem wi th partial… (More)
Is this relevant?
Highly Cited
2000
Highly Cited
2000
Texture synthesis is important for many applications in computer graphics, vision, and image processing. However, it remains… (More)
  • figure 2
  • figure 3
  • figure 4
  • figure 5
  • table 1
Is this relevant?
Highly Cited
1993
Highly Cited
1993
Abstruct-Linear predictive coding (LPC) parameters are widely used in various speech processing applications for representing the… (More)
  • figure 1
  • figure 2
  • table I
  • figure 3
  • table I
Is this relevant?
Highly Cited
1993
Highly Cited
1993
A neural network algorithm based on a soft-max adaptation rule is presented. This algorithm exhibits good performance in reaching… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
1990
Highly Cited
1990
We compare a number of training algorithms for competitive learning networks applied to the problem of vector quantization for… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
1989
Highly Cited
1989
Akfmct-An iterative descent algorithm based on a Lagrangian formulation is introduced for designing vector quantizers having… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
1988
Highly Cited
1988
Subband coding has proven to be a powerful technique for medium bandwidth source encoding of speech. Recently, some promising… (More)
  • figure 1
  • figure 2
  • figure 3
  • table I
  • figure 5
Is this relevant?
Highly Cited
1986
Highly Cited
1986
Vector quantization (VQ) provides many attractive features for image coding with high compression ratios. However, initial… (More)
  • figure 1
  • figure 2
  • figure 3
  • table I
  • figure 5
Is this relevant?