Advances in intelligent signal processing and data mining : theory and applications
The book presents some of the most efficient statistical and deterministic methods for information processing and applications in order to extract targeted information and find hidden patterns. The techniques presented range from Bayesian approaches and their variations such as sequential Monte Carl...
Gardado en:
| Outros autores: | , , |
|---|---|
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edición: | 1st ed. 2013. |
| Series: | Studies in Computational Intelligence
410 |
| Acceso en liña: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Advances in intelligent signal processing and data mining, theory and applications, Petia Georgieva, Lyudmila Mihaylova, Lakhmi C. Jain, 2013, Berlin, Springer, 1 vol. (XIII-349 p.), Studies in computational intelligence, 978-3-642-28695-7 • Advances in Intelligent Signal Processing and Data Mining, Texte imprimé, 9783642286971 • Advances in Intelligent Signal Processing and Data Mining, Texte imprimé, 9783642439803 • Advances in intelligent signal processing and data mining, theory and applications, Petia Georgieva, Lyudmila Mihaylova, Lakhmi C. Jain, 2013, Berlin, Springer, 1 vol. (XIII-349 p.), Studies in computational intelligence, 978-3-642-28695-7 |
Table des matières:
- From the content: Introduction to Intelligent Signal Processing and Data Mining Monte Carlo-Based Bayesian Group Object Tracking and Causal Reasoning A Sequential Monte Carlo Method for Multi-Target Tracking with the Intensity Filter Sequential Monte Carlo Methods for Localisation inWireless Networks A Sequential Monte Carlo Approach for Brain Source Localization