01110cam0-22003731i-450 99000445007040332120220221161247.0000445007FED01000445007(Aleph)000445007FED0100044500719990604d1970----km-y0itay50------bafreFRy-------001yy<<Le >>christianisme dans l'empire romainMichel MeslinBoulevardPresses Universitaires de France1970197 p.18 cm<<L'>>historien4Cristianesimo e Impero romanoCristianiPersecuzioneImpero romano270.121ita270.2Meslin,Michel<1926-2010>177417ITUNINARICAUNIMARCBK990004450070403321200/3 0459Bibl. 49469FLFBC270.1 MES 1ANT. G.R. 1033FLFBCDDR-XXV Aa 019971 ddrDDR21-8899FLFBCDDRChristianisme dans l'empire romain305994UNINA04252nam 22007335 450 99646646560331620200701202028.03-030-03338-410.1007/978-3-030-03338-5(CKB)4100000007110928(DE-He213)978-3-030-03338-5(MiAaPQ)EBC6302933(PPN)232470685(EXLCZ)99410000000711092820181102d2018 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierPattern Recognition and Computer Vision[electronic resource] First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part III /edited by Jian-Huang Lai, Cheng-Lin Liu, Xilin Chen, Jie Zhou, Tieniu Tan, Nanning Zheng, Hongbin Zha1st ed. 2018.Cham :Springer International Publishing :Imprint: Springer,2018.1 online resource (XVII, 625 p. 297 illus., 187 illus. in color.) Image Processing, Computer Vision, Pattern Recognition, and Graphics ;112583-030-03337-6 Biometrics -- Computer Vision Application -- Deep Learning -- Document Analysis -- Face Recognition and Analysis -- Feature Extraction and Selection -- Machine Learning -- Object Detection and Tracking -- Performance Evaluation and Database -- Remote Sensing.The four-volume set LNCS 11056, 110257, 11258, and 11073 constitutes the refereed proceedings of the First Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2018, held in Guangzhou, China, in November 2018. The 179 revised full papers presented were carefully reviewed and selected from 399 submissions. The papers have been organized in the following topical sections: Part I: Biometrics, Computer Vision Application. Part II: Deep Learning. Part III: Document Analysis, Face Recognition and Analysis, Feature Extraction and Selection, Machine Learning. Part IV: Object Detection and Tracking, Performance Evaluation and Database, Remote Sensing.Image Processing, Computer Vision, Pattern Recognition, and Graphics ;11258Optical data processingPattern recognitionArtificial intelligenceComputersSoftware engineeringImage Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Pattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XArtificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Information Systems and Communication Servicehttps://scigraph.springernature.com/ontologies/product-market-codes/I18008Software Engineering/Programming and Operating Systemshttps://scigraph.springernature.com/ontologies/product-market-codes/I14002Optical data processing.Pattern recognition.Artificial intelligence.Computers.Software engineering.Image Processing and Computer Vision.Pattern Recognition.Artificial Intelligence.Information Systems and Communication Service.Software Engineering/Programming and Operating Systems.006.37Lai Jian-Huangedthttp://id.loc.gov/vocabulary/relators/edtLiu Cheng-Linedthttp://id.loc.gov/vocabulary/relators/edtChen Xilinedthttp://id.loc.gov/vocabulary/relators/edtZhou Jieedthttp://id.loc.gov/vocabulary/relators/edtTan Tieniuedthttp://id.loc.gov/vocabulary/relators/edtZheng Nanningedthttp://id.loc.gov/vocabulary/relators/edtZha Hongbinedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996466465603316Pattern recognition and computer vision1972598UNISA06327nam 22008055 450 991048195830332120251113190353.03-319-10581-710.1007/978-3-319-10581-9(CKB)3710000000249752(SSID)ssj0001354190(PQKBManifestationID)11732959(PQKBTitleCode)TC0001354190(PQKBWorkID)11322703(PQKB)11514510(DE-He213)978-3-319-10581-9(MiAaPQ)EBC5590942(PPN)181351633(EXLCZ)99371000000024975220140905d2014 u| 0engurnn|008mamaatxtccrMachine Learning in Medical Imaging 5th International Workshop, MLMI 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 14, 2014, Proceedings /edited by Guorong Wu, Daoqiang Zhang, Luping Zhou1st ed. 2014.Cham :Springer International Publishing :Imprint: Springer,2014.1 online resource (XII, 332 p. 136 illus.) Image Processing, Computer Vision, Pattern Recognition, and Graphics,3004-9954 ;8679Includes index.3-319-10580-9  Sparsity-Learning-Based Longitudinal MR Image Registration for Early Brain Development -- Graph-Based Label Propagation in Fetal brain MR Images -- Deep Learning Based Automatic immune Cell Detection for Immunohistochemistry Images -- Stacked Multiscale Feature learning for Domain Independent Medical Image Segmentation -- Detection of Mammographic Masses by Content-Based Image Retrieval -- Inferring Sources of Dementia Progression with Network Diffusion Model -- 3D Intervertebral Disc Localization through Representation Learning with Knowledge Transfer -- Exploring Compact Representation of SICE Matrices for Functional Brain Network Classification -- Deep Learning for Cerebellar Ataxia Classification and Functional Score Regression -- Manifold Alignment and Transfer Learning for Classification of Alzheimer’s Disease -- Gleason Grading of Prostate Tumors with Max-Margin Conditional Random Fields -- Learning Distance Transform for Boundary Detection and Deformable Segmentation in CT Prostate Images -- Geodesic Geometric mean of Regional Covariance Descriptors as an Image-Level Descriptor for nuclear Atypia Grading in Breast Images -- A constrained Regression Forests Solution to 3D Fetal Ultrasound Plane Localization for Longitudinal Analysis of Brain Growth and Maturation -- Deep Learning of Image Features from Unlabeled Data for Multiple Sclerosis Lesion Segmentation -- Fetal Abdominal Standard Plane Localization through Representation Learning with Knowledge Transfer -- Searching for Structures of Interest in an Ultrasound Video Sequence -- Anatomically Constrained Weak Classifier Fusion for Early Detection of Alzheimer’s Disease -- Automatic Bone and Marrow Extraction from Dual Energy CT through SVM Margin-Based Multi-Material Decomposition Model Selection -- Sparse Discriminative Feature Selection for Multi-Class Alzheimer’s Disease Classification -- Context-aware Anatomical Landmark Detection: Application to Deformable Model Initialization in Prostate CT Images.-Optimal MAP Parameters Estimation in STAPLE-Learning from Performance Parameters versus Image Similarity Information -- Colon Biopsy Classification Using Crypt Architecture -- Network Guided Group Feature Selection for Classification of Autism Spectrum Disorder -- Deformation Field Correction for Spatial Normalization of PET Images Using a Population-derived Partial Least Squares Model -- Novel Multi-Atlas Segmentation by Matrix Completion -- Structured Random Forest for Myocardium Delineation in 3D Echocardiography -- Improved Reproducibility of Neuroanatomical Definition through Diffeomorphometry and Complexity Reduction -- Topological Descriptors of Histology Images -- Robust Deep Learning for Improved Classification of AD/MCI Patients -- Subject Specific Sparse Dictionary Learning for Atlas Based Brain MRI Segmentation -- Online Discriminative Multi-Atlas Learning with Application to Isointense Infant Brain Segmentation.  .This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning in Medical Imaging, MLMI 2014, held in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2014, in Cambridge, MA, USA, in September 2014. The 40 contributions included in this volume were carefully reviewed and selected from 70 submissions. They focus on major trends and challenges in the area of machine learning in medical imaging and aim to identify new cutting-edge techniques and their use in medical imaging.Image Processing, Computer Vision, Pattern Recognition, and Graphics,3004-9954 ;8679Computer visionPattern recognition systemsMedical informaticsData miningArtificial intelligenceComputer graphicsComputer VisionAutomated Pattern RecognitionHealth InformaticsData Mining and Knowledge DiscoveryArtificial IntelligenceComputer GraphicsComputer vision.Pattern recognition systems.Medical informatics.Data mining.Artificial intelligence.Computer graphics.Computer Vision.Automated Pattern Recognition.Health Informatics.Data Mining and Knowledge Discovery.Artificial Intelligence.Computer Graphics.610.285Wu Guorongedthttp://id.loc.gov/vocabulary/relators/edtZhang Daoqiangedthttp://id.loc.gov/vocabulary/relators/edtZhou Lupingedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910481958303321Machine Learning in Medical Imaging2998079UNINA