๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

A new feature selection method for Gaussian mixture clustering

โœ Scribed by Hong Zeng; Yiu-Ming Cheung

Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
511 KB
Volume
42
Category
Article
ISSN
0031-3203

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Textural feature selection by joint mutu
Textural feature selection by joint mutual information based on Gaussian mixture model for multispectral image classification
โœ Mounir Ait Kerroum; Ahmed Hammouch; Driss Aboutajdine ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 424 KB

Textural features play increasingly an important role in remotely sensed images classification and many pattern recognition applications. However, the selection of informative ones with highly discriminatory ability to improve the classification accuracy is still one of the well-known problems in re

A clustering method for automatic biomet
A clustering method for automatic biometric template selection
โœ Alessandra Lumini; Loris Nanni ๐Ÿ“‚ Article ๐Ÿ“… 2006 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 155 KB

The problem addressed in this paper is the template selection and update in biometrics based on clustering. Template selection is a reliable method to reduce the number of templates used in a biometric system to account for variations observed in a person's biometric data. An efficient method based