Vector quantization using information theoretic concepts

Learning-Theoretic Methods in Vector Quantization

Fuzzy Concepts in Vector Quantization Training

Vector quantization and clustering are two different problems for which similar techniques are used. We analyze some approaches to the synthesis of a vector quantization codebook, and their similarities with corresponding clustering algorithms. We outline the role of fuzzy concepts in the performance of these algorithms, and propose an alternative way to use fuzzy concepts as a modeling tool fo...

Quantization with an Information-Theoretic Distortion Measure

Face Recognition Algorithm using Vector Quantization Codebook Space Information Processing

We propose a novel information-processing algorithm called Vector Quantization (VQ) codebook space information processing. Based on this algorithm, we have developed a very simple yet highly reliable face recognition method called VQ histogram method. General codebook consisting of 33 low-frequency patterns for VQ processing is created by theoretical method. Codevector referred (or matched) cou...

Application of Information - Theoretic Concepts in Chemoinformatics

The use of computational methodologies for chemical database mining and molecular similarity searching or structure-activity relationship analysis has become an integral part of modern chemical and pharmaceutical research. These types of computational studies fall into the chemoinformatics spectrum and usually have large-scale character. Concepts from information theory such as Shannon entropy ...