MDL-based design of vector quantizers

被引：0

作者：

Bischof, H ^{[1
]}

Leonardis, A ^{[1
]}

机构：

[1] Vienna Univ Technol, Pattern Recog & Image Proc Grp, A-1040 Vienna, Austria

来源：

FOURTEENTH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1 AND 2 | 1998年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we develop a framework for vector quantization networks based on the Minimum Description Length principle (MDL). This MDL framework is used to derive conditions for the removal of superfluous units from the network. We design a computationally efficient algorithm for finding the optimal number of reference vectors as well as their positions. We illustrate our approach on 2D clustering problems and present applications on image coding.

引用

页码：891 / 893

页数：3