LEADER 01386nam 2200373 n 450 001 996383928103316 005 20221108100034.0 035 $a(CKB)1000000000593993 035 $a(EEBO)2240866633 035 $a(UnM)99855518 035 $a(EXLCZ)991000000000593993 100 $a19920901d1600 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 14$aThe rosarie of our Ladie. Otherwise called our Ladies psalter$b[electronic resource] $eWith other godlie exercises mentioned in the preface 210 $aAntuerpić $cApud Ioannem Keerbergium$dAnno M.D.C. [1600] 215 $a[16], 127, [1] p. $cill. (metal cuts) 300 $aEditor's preface signed: T.VV. p., i.e. Thomas Worthington, priest. 300 $aThe title page is engraved; at foot: Cum gratia et priuilegio. 300 $aMany of the engraved illustrations are signed: M. de Vos inuent. Ioan Collaert sculp. 300 $aReproduction of the original in the Bodleian Library. 330 $aeebo-0014 701 $aWorthington$b Thomas$f1549-1627.$01008957 702 $aDe Vos$b M. 702 $aCollaert$b Jan$fca. 1540-1628, 801 0$bCu-RivES 801 1$bCu-RivES 801 2$bUk-ES 801 2$bCStRLIN 801 2$bWaOLN 906 $aBOOK 912 $a996383928103316 996 $aThe rosarie of our Ladie. Otherwise called our Ladies psalter$92329626 997 $aUNISA LEADER 03949nam 22006255 450 001 9910373929203321 005 20251113194826.0 010 $a3-030-34376-6 024 7 $a10.1007/978-3-030-34376-7 035 $a(CKB)4100000010119118 035 $a(DE-He213)978-3-030-34376-7 035 $a(MiAaPQ)EBC6027548 035 $a(iGPub)SPNA0065491 035 $a(PPN)242846203 035 $a(EXLCZ)994100000010119118 100 $a20200122d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDeep Learning in Mining of Visual Content /$fby Akka Zemmari, Jenny Benois-Pineau 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XVII, 110 p. 46 illus., 25 illus. in color.) 225 1 $aSpringerBriefs in Computer Science,$x2191-5776 311 08$a3-030-34375-8 327 $aIntroduction -- 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. 330 $aThis book provides the reader with the fundamental knowledge in the area of deep learning with application to visual content mining. The authors give a fresh view on Deep learning approaches both from the point of view of image understanding and supervised machine learning. It contains chapters which introduce theoretical and mathematical foundations of neural networks and related optimization methods. Then it discusses some particular very popular architectures used in the domain: convolutional neural networks and recurrent neural networks. Deep Learning is currently at the heart of most cutting edge technologies. It is in the core of the recent advances in Artificial Intelligence. Visual information in Digital form is constantly growing in volume. In such active domains as Computer Vision and Robotics visual information understanding is based on the use of deep learning. Other chapters present applications of deep learning for visual content mining. These include attention mechanisms in deep neural networks and application to digital cultural content mining. An additional application field is also discussed, and illustrates how deep learning can be of very high interest to computer-aided diagnostics of Alzheimer?s disease on multimodal imaging. This book targets advanced-level students studying computer science including computer vision, data analytics and multimedia. Researchers and professionals working in computer science, signal and image processing may also be interested in this book. 410 0$aSpringerBriefs in Computer Science,$x2191-5776 606 $aArtificial intelligence 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aData mining 606 $aArtificial Intelligence 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aData Mining and Knowledge Discovery 615 0$aArtificial intelligence. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aData mining. 615 14$aArtificial Intelligence. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aData Mining and Knowledge Discovery. 676 $a006.31 676 $a006.31 700 $aZemmari$b Akka$4aut$4http://id.loc.gov/vocabulary/relators/aut$0995897 702 $aBenois-Pineau$b Jenny$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910373929203321 996 $aDeep Learning in Mining of Visual Content$92282125 997 $aUNINA