๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Ensemble Gaussian mixture models for probability density estimation

โœ Scribed by Michael Glodek, Martin Schels, Friedhelm Schwenker


Book ID
120743813
Publisher
Springer
Year
2012
Tongue
English
Weight
388 KB
Volume
28
Category
Article
ISSN
0943-4062

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Model parameter estimation for mixture d
โœ T. Fukada; K.K. Paliwal; Y. Sagisaka ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 318 KB

In this paper, we propose parameter estimation techniques for mixture density polynomial segment models (MDPSMs) where their trajectories are specified with an arbitrary regression order. MDPSM parameters can be trained in one of three different ways: (1) segment clustering; (2) expectation maximiza