scholarly journals Maximum Likelihood estimation for non-minimum-phase noise transfer function with Gaussian mixture noise distribution

Automatica ◽  
2022 ◽  
Vol 135 ◽  
pp. 109937
Author(s):  
Rafael Orellana ◽  
Gustavo Bittner ◽  
Rodrigo Carvajal ◽  
Juan C. Agüero
Keyword(s):  
Maximum Likelihood ◽  
Transfer Function ◽  
Maximum Likelihood Estimation ◽  
Phase Noise ◽  
Likelihood Estimation ◽  
Gaussian Mixture ◽  
Minimum Phase ◽  
Noise Distribution ◽  
Noise Transfer Function

Interactive Learning of Verbal Descriptors Meanings for Face Drawing System

2010 ◽  
Vol 14 (6) ◽  
pp. 606-615 ◽  
Author(s):  
Hafida Benhidour ◽  
◽  
Takehisa Onisawa
Keyword(s):  
Online Learning ◽  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Likelihood Estimation ◽  
Gaussian Mixture ◽  
Current User ◽  
Facial Features ◽  
Linguistic Terms ◽  
Drawing System ◽  
The Face

This paper presents an approach for online learning of descriptors meanings in the Face Drawing System with verbal descriptors. The targeted descriptors are those describing the size of the facial features. The users of the system have the possibility to draw faces using linguistic terms and retouch the features of the drawn face using a combination of an adverb and a linguistic descriptor until the desired face is obtained. The system learns interactively the meanings of the terms from the retouches made by the user on the drawn face. For the current user, the system interactively learns the meanings of the descriptors using the proposed algorithm for online learning of Gaussian fuzzy sets approach based on the Maximum Likelihood Estimation (MLE) of Gaussian mixture. The system then adjusts the drawn face according to the new meaning of the descriptors.

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