Nearest neighbor searching is an important geometric subproblem in vector quantization.

Field texture models and generates textures through a deterministic searching process. We accelerate this synthesis process using tree-structured vector quantization.

mixture model for the energy of blocks dedicated to

Vector quantization is a data compression method where a set of data points is encoded by a reduced set of reference vectors, the codebook. We discuss a vector quantization strategy which jointly optimizes distortion errors and the codebook complexity, thereby, determining the size of the codebook

description and decode some fraction of that string. Decoding a small portion of the binary string gives a low-resolution reproduction; decoding more yields a higher resolution reproduction; and so on. Multiresolution vector quantizers are block multiresolution source codes. This paper introduces algorithms

Fast rates for empirical vector quantization

Learning Vector Quantization is a popular class of adaptive nearest prototype classifiers for multiclass classification, but learning algorithms from this family have so far been proposed on heuristic grounds. Here we take a more principled approach and derive two variants of Learning Vector

We propose a new learning method, "Generalized Learning Vec-tor Quantization (GLVQ), " in which reference vectors are updated based on the steepest descent method in order to minimize the cost function. The cost function is determined so that the obtained learning rule satisfies

This paper presents a vector quantization system that limits the maximum distortion introduced to a pre-selected threshold value. This system uses a recently introduced variation of the L1 distortion measure that attempts to minimize the occurrences of quantization errors above a preselected

This paper investigates the use of a new hybrid vector quantizer called switched multistage vector quantization (SWMSVQ) technique using hard and soft decision schemes, for coding of narrow band speech signals. This technique is a hybrid of switch vector quantization technique and multistage vector