Signal processing techniques for knowledge extraction and information fusion
This state-of-the-art resource brings together the latest findings from the cross-fertilization of signal processing, machine learning and computer science. The emphasis is on demonstrating synergy of different signal processing methods with knowledge extraction and heterogeneous information fusion....
Kaydedildi:
| Diğer Yazarlar: | , , , , |
|---|---|
| Materyal Türü: | Livre numérique |
| Dil: | Anglais |
| Baskı/Yayın Bilgisi: |
New York, NY :
Springer US : Imprint: Springer
[20..].
Cham : Springer Nature |
| Edisyon: | 1st ed. 2008. |
| Online Erişim: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Not: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Signal processing techniques for knowledge extraction and information fusion, edited by Danilo Mandic, Martin Golz, Anthony Kuh, Dragan Obradovic,Toshihisa Tanaka, New York, NY, Springer, 2008, 1 vol. (XXII, 320 p.), 978-0-387-74366-0 |