A timely convergence of two widely used disciplines Random Graphs for Statistical Pattern
Recognition is the first book to address the topic of random graphs as it applies to statistical …

The idea of Media-based Modulation (MBM), introduced in [1][2], is based on embedding
information in the variations of the transmission media (channel states). This is in contrast to …

Vector quantization (VQ) is an essential tool in signal processing. Although many algorithms
for vector quantizer design have been developed, the classical generalized Lloyd algorithm …

A fast search method for vector quantization is proposed in this paper. It makes use of the
fact that in the generalized Lloyd algorithm (GLA) a vector in a training sequence is either …

Partial distance search (PDS) is a method of reducing the amount of computation required
for vector quantization encoding. The method is simple and general enough to be …

In this paper we consider fast nearest-neighbor search techniques based on the projections
of Voronoi regions. The Voronoi diagram of a given set of points provides an implicit …

Image compression frequently supports reduced storage requirement in a computer system,
as well as enhancement of effective channel bandwidth in a communication system, by …

As digital image and video compression technology evolves, it appears that transform based
coding or compression techinques will reach asymptotic rate-distortion performance …

A fundamental activity common to many image processing, pattern classification, and
clustering algorithms involves searching a set of n, k-dimensional data for the one which is …

Object-based compression (OBC) is an emerging technology that combines region
segmentation and coding to produce a compact representation of a digital image or video …