๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Multiple line-template matching with the EM algorithm

โœ Scribed by Simon Moss; Edwin R. Hancock

Book ID
108410827
Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
543 KB
Volume
18
Category
Article
ISSN
0167-8655

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Learning chaotic dynamics under noise wi
Learning chaotic dynamics under noise with on-line EM algorithm
โœ Wako Yoshida; Shin Ishii; Masa-aki Sato ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 304 KB

In this article, we discuss the learning of chaotic dynamics by using a normalized Gaussian network (NGnet). The NGnet is trained by an on-line EM algorithm in order to learn the vector field of the chaotic dynamics. We also investigate the robustness of our approach to two kinds of noise processes:

Multiple model LPV approach to nonlinear
Multiple model LPV approach to nonlinear process identification with EM algorithm
โœ Xing Jin; Biao Huang; David S. Shook ๐Ÿ“‚ Article ๐Ÿ“… 2011 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 889 KB

This paper is concerned with the identification of a nonlinear process which operates over several working points with consideration of transition dynamics between the working points. Operating point changes due to economic considerations (e.g. grade change in polymer plants) or working environment

Recovering facial pose with the EM algor
Recovering facial pose with the EM algorithm
โœ Kwang Nam Choi; Marco Carcassoni; Edwin R. Hancock ๐Ÿ“‚ Article ๐Ÿ“… 2002 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 897 KB