Training sparse natural image models with a fast Gibbs sampler of an extended state space
Abstract
Training sparse natural image models with a fast Gibbs sampler of an extended state space Training sparse natural image models with a fast Gibbs sampler of an extended state space DSpace Repositorium (Manakin basiert) Einloggen Publikationsdienste → Universitätsbibliographie → 7 Mathematisch-Naturwissenschaftliche Fakultät → Dokumentanzeige « zurück Training sparse natural image models with a fast Gibbs sampler of an extended state space Autor(en): Bethge, Matthias; Sohl-Dickstein, Jascha; Theis, Lucas Tübinger Autor(en): Bethge, Matthias Theis, Lucas Erscheinungsjahr: 2013-04 Reihe: ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS;25 Verlagsangabe: Neural Information Processing Systems (NIPS) Sprache: Englisch ISBN: 978-1-627-48003-1 DDC-Klassifikation: 004 - Informatik 570 - Biowissenschaften, Biologie 610 - Medizin, Gesundheit Dokumentart: Buch (einzelnes …
Matthias Bethge
Professor for Computational Neuroscience and Machine Learning & Director of the Tübingen AI Center
Matthias Bethge is Professor for Computational Neuroscience and Machine Learning at the University of Tübingen and director of the Tübingen AI Center, a joint center between Tübingen University and MPI for Intelligent Systems that is part of the German AI strategy.