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Data fusion and perception /

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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 c...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Della Riccia, G. (Editor), Lenz, Hans-Joachim (Editor), Kruse, Rudolf (Editor)
Format: eBook
Language:English
Published: Wien : Springer, [2001]
Series:Courses and lectures ; number 431.
Subjects:
Multisensor data fusion > Congresses.
Datenfusion.
Kongress.
Multisensor data fusion.
Electronic books.
Udine (2000)
Conference proceedings.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • 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.