Data Fusion and Perception
CISM International Centre for Mechanical Sciences. NR. 431
Giagomo Della Riccia, Hanz-Joachim Lenz, Rudolf Kruse
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
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- Statistical Learning and Kernel Methods
- A Combined Bayes - Maximum Likelihood Method for Regression
- Session II - Data Fusion I
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- 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
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- Facets of Emotions in Humans and Artifacts
- Session IV - Data Fusion II
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- 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 |
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