
Data Fusion and Perception
Springer (Publisher)
Published on 6. February 2002
Book
Paperback/Softback
X, 250 pages
978-3-211-83683-5 (ISBN)
Description
This work is a collection of front-end research papers on data fusion and perceptions. Authors are leading European experts of Artificial Intelligence, Mathematical Statistics and/or Machine Learning. Area overlaps with "Intelligent Data Analysis", which aims to unscramble latent structures in collected data: Statistical Learning, Model Selection, Information Fusion, Soccer Robots, Fuzzy Quantifiers, Emotions and Artifacts.
More details
Series
Edition
2001 ed.
Language
English
Place of publication
Vienna
Austria
Publishing group
Springer Wien
Target group
Professional and scholarly
Research
Illustrations
5 farbige Abbildungen, 58 s/w Abbildungen
X, 250 p. 63 illus., 5 illus. in color.
Dimensions
Height: 244 mm
Width: 170 mm
Thickness: 15 mm
Weight
462 gr
ISBN-13
978-3-211-83683-5 (9783211836835)
DOI
10.1007/978-3-7091-2580-9
Schweitzer Classification
Persons
Content
Preface;
Session I - Learning and Space Structures:
Statistical Learning and Kernel Methods; A Combined Bayes - Maximum Likelihood Method for Regression.-
Session II - Data Fusion I:
Possibility Theory in Information Fusion; Information Fusion in Neuro-Fuzzy Systems; Qualitative Aggregation of Bayesian Networks; Classification and Fusion; On Information Fusion in the Life-Sciences; Fusion of Image Information under Imprecision and Uncertainty: Numerical Methods.-
Session III - Emotions and Perceptions:
Facets of Emotions in Humans and Artifacts.-
Session IV - Data Fusion II:
The Soul of a New Machine: the Soccer Team of the FU-Berlin; Fuzzy Quantifiers: a Linguistic Technique for Data Fusion; Transformation of Attribute Space by Function Decomposition.-
List of Participants.