LEADER 01112cam0-22003371i-450 001 990000433990403321 005 20231010124226.0 100 $a20020821d1976----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ay-------001yy 200 1 $a<>opera di Guerriera Guerrieri$ein appendice sedici lettere di B. Croce, una di G. De Ruggiero ed una di L. Einaudi 210 $aNapoli$cIndustria tipografica artistica$d1976 215 $a70 p.$d24 cm 225 1 $a<>quaderni della Biblioteca nazionale di Napoli$iSer. 4$v3 610 0 $aBiografia bibliotecari 676 $a027.092$v2 702 1$aCroce,$bBenedetto$f<1866-1952> 702 1$aDe Ruggiero,$bGuido$f<1888-1948> 702 1$aEinaudi,$bLuigi$f<1874-1961> 702 1$aGuerrieri,$bGuerriera$f<1902-1980> 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990000433990403321 952 $a08 CC 354$b3108$fDINED 952 $a920.2 GUE 1$bARCH. 17388$fFLFBC 952 $aDFT E35 GALG 01$fFLFBC 959 $aDINED 959 $aFLFBC 996 $aOpera di Guerriera Guerrieri$9327467 997 $aUNINA LEADER 03351nam0 22005533i 450 001 VIAE032376 005 20251003044441.0 012 $aa-o- *-*- ,&e- stat (3) 1752 (R)$2fei 100 $a20121027d1752 ||||0itac50 ba 101 | $alat$agrc 102 $ait 181 1$6z01$ai $bxxxe 182 1$6z01$an 200 1 $aRudimenta linguae graecae, ex primo libro Institutionum Jacobi Gretseri Societatis Jesu, pro infima, & pro media schola grammatices, ad usum collegii neapolitani S. J 210 $aPatavii$cex Typographia Seminarii$capud Joannem Manfre$d1752 215 $a[32], 231, [1] p.$d16o 300 $aFregio xil. sul front 300 $aTestatine, iniziali e fregi xil 300 $aSegn.: [ast]-2[ast]8 A-O8 P4 300 $aBianche le prime 2 c. 316 $a1 v. - Mutilo di frontespizio. - Sulla carta di guardia iniziale timbro di possesso (Ex Libris Domenico Demarco)$5IT-BN0095 , DEMARCO FONDO RARI A 147 316 $a1 v.$5IT-NA0663 , FRSTOR 03. H 0736 620 $aIT$dPadova$3CAGL002595 700 1$aGretser$b, Jacob$f <1562-1625>$3SBLV315882$0620837 712 02$aManfrč, Giovanni$3MILV166787 712 02$aTipografia del Seminario$c $3MILV178491 790 1$aGretserus$b, Jacobus$3CFIV284823$zGretser, Jacob <1562-1625> 790 1$aGretser$b, Jakob$3MILV164000$zGretser, Jacob <1562-1625> 790 1$aGretserus$b, Iacobus$3SBLV315883$zGretser, Jacob <1562-1625> 791 02$aStamperia del Seminario$3CFIV299190$yTipografia del Seminario 791 02$aTypographia seminarii Patavini$3CFIV315975$zTipografia del Seminario 791 02$aNel Seminario$c $3NAPV106037$zTipografia del Seminario 791 02$aTypis Seminarii$c $3SBNV003884$zTipografia del Seminario 791 02$aStamperia Seminario$c $3SBNV004290$zTipografia del Seminario 791 02$aTypographia seminarii$c $3SBNV005109$zTipografia del Seminario 791 02$aTipografia del seminario di Padova$3VEAV046352$zTipografia del Seminario 791 02$aStamperia del Seminario$c $3VEAV050641$zTipografia del Seminario 801 3$aIT$bIT-000000$c20121027 850 $aIT-BN0095 $aIT-NA0663 $aIT-NA0079 899 1$aBiblioteca nazionale Vittorio Emanuele III$bIT-NA0079 $41 esemplare$eS$uhttp://books.google.com/books?vid=IBNN:BNA01001462949 901 $bNAP AD$cFRSTOR $n$ 901 $bNAP BN$cSALA FARN.$n$ 901 $bNAP 01$cDEMARCO $n$ 912 $aVIAE032376 950 0$aBiblioteca Centralizzata di Ateneo$c1 esemplare$d 01DEMARCO FONDO RARI A 147$e 01 0000133995 VMM 1 v. - Mutilo di frontespizio. - Sulla carta di guardia iniziale timbro di possesso (Ex Libris Domenico Demarco)$fB $h20240614$i20240617 950 0$aBiblioteca dell'Associazione Amici degli Archivi onlus$c1 v.$d ADFRSTOR 03. H 0736$e AD 0000034465 VMA 1 v.$fB $h20220616$i20220616 977 $a 01$a AD$a BN 996 $aRudimenta linguae graecae, ex primo libro Institutionum Jacobi Gretseri Societatis Jesu, pro infima, & pro media schola grammatices, ad usum collegii neapolitani S. J$94165189 997 $aUNISANNIO LEADER 06327nam 22008055 450 001 9910481958303321 005 20251113190353.0 010 $a3-319-10581-7 024 7 $a10.1007/978-3-319-10581-9 035 $a(CKB)3710000000249752 035 $a(SSID)ssj0001354190 035 $a(PQKBManifestationID)11732959 035 $a(PQKBTitleCode)TC0001354190 035 $a(PQKBWorkID)11322703 035 $a(PQKB)11514510 035 $a(DE-He213)978-3-319-10581-9 035 $a(MiAaPQ)EBC5590942 035 $a(PPN)181351633 035 $a(EXLCZ)993710000000249752 100 $a20140905d2014 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aMachine Learning in Medical Imaging $e5th International Workshop, MLMI 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 14, 2014, Proceedings /$fedited by Guorong Wu, Daoqiang Zhang, Luping Zhou 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (XII, 332 p. 136 illus.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v8679 300 $aIncludes index. 311 08$a3-319-10580-9 327 $a 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.  . 330 $aThis book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning in Medical Imaging, MLMI 2014, held in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2014, in Cambridge, MA, USA, in September 2014. The 40 contributions included in this volume were carefully reviewed and selected from 70 submissions. They focus on major trends and challenges in the area of machine learning in medical imaging and aim to identify new cutting-edge techniques and their use in medical imaging. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v8679 606 $aComputer vision 606 $aPattern recognition systems 606 $aMedical informatics 606 $aData mining 606 $aArtificial intelligence 606 $aComputer graphics 606 $aComputer Vision 606 $aAutomated Pattern Recognition 606 $aHealth Informatics 606 $aData Mining and Knowledge Discovery 606 $aArtificial Intelligence 606 $aComputer Graphics 615 0$aComputer vision. 615 0$aPattern recognition systems. 615 0$aMedical informatics. 615 0$aData mining. 615 0$aArtificial intelligence. 615 0$aComputer graphics. 615 14$aComputer Vision. 615 24$aAutomated Pattern Recognition. 615 24$aHealth Informatics. 615 24$aData Mining and Knowledge Discovery. 615 24$aArtificial Intelligence. 615 24$aComputer Graphics. 676 $a610.285 702 $aWu$b Guorong$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZhang$b Daoqiang$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZhou$b Luping$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910481958303321 996 $aMachine Learning in Medical Imaging$92998079 997 $aUNINA