Modeling Affection Mechanisms using Deep and Self-Organizing Neural Networks
,
Nutzung von mehrschichtigen und selbstorganisierenden neuronalen Netzen zur Modellierung von affektiven Mechanismen
Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky
Erscheinungsjahr:
2016
Medientyp:
Text
Schlagworte:
Affective Analysis
Emotion Recognition
Deep Neural Network
Self-organizing network
004 Informatik
54.72 Künstliche Intelligenz
ddc:004
Beschreibung:
One of the most important aspects of affective computing is how to make computational systems use emotion concepts in different situations. Although several types of research were done, we are still far away from having a system which can recognize and learn emotion concepts in a satisfactory way. In this thesis, we propose computational models which introduce a unified solution for emotional attention, recognition, and learning. These models are competitive in each of these tasks, and also provide an overview of a learning mechanism which adapts its knowledge according to a given situation.