01330nam0 22003011i 450 UON0048252020231205105254.557978-05-202-8082-320171109d2017 |0itac50 baengUS|||| |||||ˆA ‰social revolutionpolitics and the welfare state in IranKevan HarrisOaklandUniversity of California Press2017xi, 316 p.23 cm.IRANCondizioni sociali1997UONC093050FIIRANStoria1979-1997UONC093051FIUSOakland (California)UONL003194306.0955IRAN - Vita sociale e costumi21HARRISKevanUONV237988781973University of California PressUONV247423650ITSOL20240220RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00482520SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI XI SC POL C 0326 SI 24833 5 0326 BuonoSIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI20171366 1J 20171109Inventariato su ordine Social revolution1734162UNIOR03937nam 22007095 450 991029856810332120200704001131.03-319-05603-410.1007/978-3-319-05603-6(CKB)2560000000148959(EBL)1698186(OCoLC)881166131(SSID)ssj0001199732(PQKBManifestationID)11703445(PQKBTitleCode)TC0001199732(PQKBWorkID)11204235(PQKB)10207926(MiAaPQ)EBC1698186(DE-He213)978-3-319-05603-6(PPN)178318868(EXLCZ)99256000000014895920140411d2014 u| 0engur|n|---|||||txtccrAutonomous Robotics and Deep Learning /by Vishnu Nath, Stephen E. Levinson1st ed. 2014.Cham :Springer International Publishing :Imprint: Springer,2014.1 online resource (73 p.)SpringerBriefs in Computer Science,2191-5768Description based upon print version of record.3-319-05602-6 Includes bibliographical references.Introduction -- Overview of Probability and Statistics -- Primer on Matrices and Determinants -- Robot Kinematics -- Computer Vision -- Machine Learning -- Experimental Results -- Future Direction.This Springer Brief examines the combination of computer vision techniques and machine learning algorithms necessary for humanoid robots to develop “true consciousness.” It illustrates the critical first step towards reaching “deep learning,” long considered the holy grail for machine learning scientists worldwide. Using the example of the iCub, a humanoid robot which learns to solve 3D mazes, the book explores the challenges to create a robot that can perceive its own surroundings. Rather than relying solely on human programming, the robot uses physical touch to develop a neural map of its environment and learns to change the environment for its own benefit. These techniques allow the iCub to accurately solve any maze, if a solution exists, within a few iterations. With clear analysis of the iCub experiments and its results, this Springer Brief is ideal for advanced level students, researchers and professionals focused on computer vision, AI and machine learning.SpringerBriefs in Computer Science,2191-5768Artificial intelligenceOptical data processingUser interfaces (Computer systems)Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Image Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021User Interfaces and Human Computer Interactionhttps://scigraph.springernature.com/ontologies/product-market-codes/I18067Computer Imaging, Vision, Pattern Recognition and Graphicshttps://scigraph.springernature.com/ontologies/product-market-codes/I22005Artificial intelligence.Optical data processing.User interfaces (Computer systems)Artificial Intelligence.Image Processing and Computer Vision.User Interfaces and Human Computer Interaction.Computer Imaging, Vision, Pattern Recognition and Graphics.629.892Nath Vishnuauthttp://id.loc.gov/vocabulary/relators/aut918907Levinson Stephen Eauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910298568103321Autonomous Robotics and Deep Learning2215722UNINA