Data Fusion and Perception

CISM International Centre for Mechanical Sciences. NR. 431

Giagomo Della Riccia, Hanz-Joachim Lenz, Rudolf Kruse

250 pages, parution le 29/04/2002

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Résumé

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.

Contents

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.

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Giagomo Della Riccia, Hanz-Joachim Lenz, Rudolf Kruse
Parution	29/04/2002
Nb. de pages	250
Format	17 x 24
Couverture	Broché
Poids	450g
Intérieur	Noir et Blanc
EAN13	9783211836835