Vérifier l’état de la commande

Accédez à une communauté d'amateurs de livres à travers le monde et bénéficiez d’une panoplie d'avantages. Créer un compte gratuitement

La Poste Autrichienne 5.49 € Coursier DPD 3.99 € Point DPD 2.99 € Service de messagerie GLS 4.99 €

Contact

Comment faire ses achats

Assistance

Mon compte

▸ Vide :-(

Machine Learning Methods for Signal, Image and Speech Processing

Name: Machine Learning Methods for Signal, Image and Speech Processing
Brand: River Publishers
SKU: 46534594
Price: 62.59 EUR
Availability: InStock
Author: M.A. Jabbar
ISBN: 9788770042864

Langue

Anglais

Livre Livre de poche

Code Libristo: 46534594

Éditeurs River Publishers, octobre 2024

The signal processing (SP) landscape has been enriched by recent advances in artificial intelligence... Description détaillée

Code Libristo: 46534594

153 b

62.59 € TVA incluse

50% de chance Nous cherchons dans le monde Quand vais-je recevoir mon livre ?

Livraison à Autriche

Jusqu'à 30 jours pour les retours

Les clients ont également acheté

Moeglichkeiten und Probleme der UEbernahme und des Delistings boersennotierter Aktiengesellschaften in Deutschland Patrick Lemcke-Braselmann

Livre de poche

48.00 €

Kooperation und Integration als Alternativen des strategischen Managements Carsten Gandenberger

Livre de poche

58.00 €

Erinnerungen aus meinem Leben Gustav Freytag

Livre relié

14.80 €

harem e l'Occidente Fatema Mernissi

Livre de poche

22.29 €

Lingue e linguaggio tra mito e realtà. Corso di sopravvivenza contro miti e pregiudizi linguistici Marco Svolacchia

Livre de poche

47.79 €

The signal processing (SP) landscape has been enriched by recent advances in artificial intelligence (AI) and machine learning (ML), yielding new tools for signal estimation, classification, prediction, and manipulation. Layered signal representations, nonlinear function approximation and nonlinear signal prediction are now feasible at very large scale in both dimensionality and data size. These are leading to significant performance gains in a variety of long-standing problem domains like speech and Image analysis. As well as providing the ability to construct new classes of nonlinear functions (e.g., fusion, nonlinear filtering).

This book will help academics, researchers, developers, graduate and undergraduate students to comprehend complex SP data across a wide range of topical application areas such as social multimedia data collected from social media networks, medical imaging data, data from Covid tests etc. This book focuses on AI utilization in the speech, image, communications and yirtual reality domains.