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Artificial Neural Networks and Machine Learning -- ICANN 2014 : 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014, Proceedings / / edited by Stefan Wermter, Cornelius Weber, Wlodzislaw Duch, Timo Honkela, Petia Koprinkova-Hristova, Sven Magg, Günther Palm, Allessandro E.P. Villa



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Titolo: Artificial Neural Networks and Machine Learning -- ICANN 2014 : 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014, Proceedings / / edited by Stefan Wermter, Cornelius Weber, Wlodzislaw Duch, Timo Honkela, Petia Koprinkova-Hristova, Sven Magg, Günther Palm, Allessandro E.P. Villa Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Edizione: 1st ed. 2014.
Descrizione fisica: 1 online resource (XXV, 852 p. 338 illus.)
Disciplina: 006.3
Soggetto topico: Artificial intelligence
Computer science
Algorithms
Pattern recognition systems
Application software
Computer vision
Artificial Intelligence
Theory of Computation
Automated Pattern Recognition
Computer and Information Systems Applications
Computer Vision
Persona (resp. second.): WermterStefan
WeberCornelius
DuchWlodzislaw
HonkelaTimo
Koprinkova-HristovaPetia
MaggSven
PalmGünther
VillaAllessandro E.P
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di contenuto: Recurrent Networks -- Sequence Learning -- Echo State Networks -- Recurrent Network Theory -- Competitive Learning and Self-Organisation.- Clustering and Classification -- Trees and Graphs -- Human-Machine Interaction -- Deep Networks.- Theory -- Optimization -- Layered Networks -- Reinforcement Learning and Action -- Vision -- Detection and Recognition -- Invariances and Shape Recovery -- Attention and Pose Estimation -- Supervised Learning -- Ensembles -- Regression -- Classification -- Dynamical Models and Time Series -- Neuroscience -- Cortical Models -- Line Attractors and Neural Fields -- Spiking and Single Cell Models -- Applications -- Users and Social Technologies -- Demonstrations.
Sommario/riassunto: The book constitutes the proceedings of the 24th International Conference on Artificial Neural Networks, ICANN 2014, held in Hamburg, Germany, in September 2014. The 107 papers included in the proceedings were carefully reviewed and selected from 173 submissions. The focus of the papers is on following topics: recurrent networks; competitive learning and self-organisation; clustering and classification; trees and graphs; human-machine interaction; deep networks; theory; reinforcement learning and action; vision; supervised learning; dynamical models and time series; neuroscience; and applications.
Titolo autorizzato: Artificial Neural Networks and Machine Learning -- ICANN 2014  Visualizza cluster
ISBN: 3-319-11179-5
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910484763103321
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Serie: Theoretical Computer Science and General Issues, . 2512-2029 ; ; 8681