01439nas 2200445-a 450 991015450650332120240413021104.02066-8279(CKB)954927738786(CONSER)sn-92033020-(DE-599)ZDB2594131-8(EXLCZ)9995492773878619910521a19909999 --- -engtxtrdacontentcrdamediacrrdacarrierRomanian journal of morphology and embryology =Revue roumaine de morphologie et embryologie /[Academia de Sțiințe Medicale]București, România Editura Academiei Române1990-19971 online resourceTitle from cover.Print version: Romanian journal of morphology and embryology = (DLC)sn 92033020 (OCoLC)23814167 1220-0522 Morphology (Animals)PeriodicalsEmbryologyPeriodicalsCell BiologyEmbryologyPathologyPeriodical.Morphology (Animals)EmbryologyCell Biology.Embryology.Pathology.591.405Academia de Stiinte Medicale.JOURNAL9910154506503321exl_impl conversionRomanian journal of morphology and embryology2237818UNINA03949nam 22006255 450 991037392920332120251113194826.03-030-34376-610.1007/978-3-030-34376-7(CKB)4100000010119118(DE-He213)978-3-030-34376-7(MiAaPQ)EBC6027548(iGPub)SPNA0065491(PPN)242846203(EXLCZ)99410000001011911820200122d2020 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierDeep Learning in Mining of Visual Content /by Akka Zemmari, Jenny Benois-Pineau1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (XVII, 110 p. 46 illus., 25 illus. in color.) SpringerBriefs in Computer Science,2191-57763-030-34375-8 Introduction -- Supervised Learning Problem Formulation -- Neural Networks from Scratch -- Optimization Methods -- Deep in the Wild -- Convolutional Neural Networks as Image Analysis Tool -- Dynamic Content Mining -- Case Study for Digital Cultural Content Mining -- Introducing Domain Knowledge.This book provides the reader with the fundamental knowledge in the area of deep learning with application to visual content mining. The authors give a fresh view on Deep learning approaches both from the point of view of image understanding and supervised machine learning. It contains chapters which introduce theoretical and mathematical foundations of neural networks and related optimization methods. Then it discusses some particular very popular architectures used in the domain: convolutional neural networks and recurrent neural networks. Deep Learning is currently at the heart of most cutting edge technologies. It is in the core of the recent advances in Artificial Intelligence. Visual information in Digital form is constantly growing in volume. In such active domains as Computer Vision and Robotics visual information understanding is based on the use of deep learning. Other chapters present applications of deep learning for visual content mining. These include attention mechanisms in deep neural networks and application to digital cultural content mining. An additional application field is also discussed, and illustrates how deep learning can be of very high interest to computer-aided diagnostics of Alzheimer’s disease on multimodal imaging. This book targets advanced-level students studying computer science including computer vision, data analytics and multimedia. Researchers and professionals working in computer science, signal and image processing may also be interested in this book.SpringerBriefs in Computer Science,2191-5776Artificial intelligenceImage processingDigital techniquesComputer visionData miningArtificial IntelligenceComputer Imaging, Vision, Pattern Recognition and GraphicsData Mining and Knowledge DiscoveryArtificial intelligence.Image processingDigital techniques.Computer vision.Data mining.Artificial Intelligence.Computer Imaging, Vision, Pattern Recognition and Graphics.Data Mining and Knowledge Discovery.006.31006.31Zemmari Akkaauthttp://id.loc.gov/vocabulary/relators/aut995897Benois-Pineau Jennyauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910373929203321Deep Learning in Mining of Visual Content2282125UNINA