04757nam 22008895 450 99620252940331620230329134710.03-319-11179-510.1007/978-3-319-11179-7(CKB)3710000000227399(SSID)ssj0001338633(PQKBManifestationID)11770396(PQKBTitleCode)TC0001338633(PQKBWorkID)11356158(PQKB)10464589(DE-He213)978-3-319-11179-7(MiAaPQ)EBC5587191(Au-PeEL)EBL5587191(OCoLC)889324558(PPN)180626531(EXLCZ)99371000000022739920140818d2014 u| 0engurnn#008mamaatxtccrArtificial Neural Networks and Machine Learning -- ICANN 2014[electronic resource] 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. Villa1st ed. 2014.Cham :Springer International Publishing :Imprint: Springer,2014.1 online resource (XXV, 852 p. 338 illus.)Theoretical Computer Science and General Issues,2512-2029 ;8681Bibliographic Level Mode of Issuance: Monograph3-319-11178-7 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.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.Theoretical Computer Science and General Issues,2512-2029 ;8681Artificial intelligenceComputer scienceAlgorithmsPattern recognition systemsApplication softwareComputer visionArtificial IntelligenceTheory of ComputationAlgorithmsAutomated Pattern RecognitionComputer and Information Systems ApplicationsComputer VisionArtificial intelligence.Computer science.Algorithms.Pattern recognition systems.Application software.Computer vision.Artificial Intelligence.Theory of Computation.Algorithms.Automated Pattern Recognition.Computer and Information Systems Applications.Computer Vision.006.3Wermter Stefanedthttp://id.loc.gov/vocabulary/relators/edtWeber Corneliusedthttp://id.loc.gov/vocabulary/relators/edtDuch Wlodzislawedthttp://id.loc.gov/vocabulary/relators/edtHonkela Timoedthttp://id.loc.gov/vocabulary/relators/edtKoprinkova-Hristova Petiaedthttp://id.loc.gov/vocabulary/relators/edtMagg Svenedthttp://id.loc.gov/vocabulary/relators/edtPalm Güntheredthttp://id.loc.gov/vocabulary/relators/edtVilla Allessandro E.Pedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996202529403316Artificial Neural Networks and Machine Learning -- ICANN 20142587624UNISA