01026nam a2200253 i 4500991003512129707536080613s1984 it 000 0 ita db14344749-39ule_instDip. di Studi Umanisticiita242Augustinus, Aurelius152280"Le Confessioni" di Agostino d'Ippona :libri 1.-2. /commento di Luigi Franco Pizzolato, Giancarlo Ceriotti, Franco De CapitaniPalermo :Edizioni "Augustinus",c1984121 p. ;21 cmLectio Augustini ;1Pizzolato, Luigi FrancoCeriotti, GiancarloDe Capitani, Franco.b1434474913-06-1813-06-18991003512129707536LE007 870.1 Augustinus PIZ 01.50412007000288337le007LE007 2018 Pregresso-E0.00-l- 01110.i1585171013-06-18Confessioni" di Agostino d'Ippona1748850UNISALENTOle00713-06-18ma -itait 4003132nam 2200637Ia 450 991043790330332120200520144314.0978128391069912839106919781461444572146144457810.1007/978-1-4614-4457-2(CKB)2670000000312768(EBL)1081845(OCoLC)823729120(SSID)ssj0000811031(PQKBManifestationID)11456349(PQKBTitleCode)TC0000811031(PQKBWorkID)10846476(PQKB)10601339(DE-He213)978-1-4614-4457-2(MiAaPQ)EBC1081845(PPN)16830029X(EXLCZ)99267000000031276820121210d2013 uy 0engur|n|---|||||txtccrGraph embedding for pattern analysis /Yun Fu, Yunqian Ma, editors1st ed. 2013.New York Springerc20131 online resource (263 p.)Description based upon print version of record.9781489990624 1489990623 9781461444565 146144456X Includes bibliographical references.Multilevel Analysis of Attributed Graphs for Explicit Graph Embedding in Vector Spaces -- Feature Grouping and Selection over an Undirected Graph -- Median Graph Computation by Means of Graph Embedding into Vector Spaces -- Patch Alignment for Graph Embedding -- Feature Subspace Transformations for Enhancing K-Means Clustering -- Learning with ℓ1-Graph for High Dimensional Data Analysis -- Graph-Embedding Discriminant Analysis on Riemannian Manifolds for Visual Recognition -- A Flexible and Effective Linearization Method for Subspace Learning -- A Multi-Graph Spectral Approach for Mining Multi-Source Anomalies -- Graph Embedding for Speaker Recognition.Graph Embedding for Pattern Analysis covers theory methods, computation, and applications widely used in statistics, machine learning, image processing, and computer vision. This book presents the latest advances in graph embedding theories, such as nonlinear manifold graph, linearization method, graph based subspace analysis, L1 graph, hypergraph, undirected graph, and graph in vector spaces. Real-world applications of these theories are spanned broadly in dimensionality reduction, subspace learning, manifold learning, clustering, classification, and feature selection. A selective group of experts contribute to different chapters of this book which provides a comprehensive perspective of this field.Pattern recognition systemsGraph theoryPattern recognition systems.Graph theory.006.3Fu Yun1762514Ma Yunqian1753446MiAaPQMiAaPQMiAaPQBOOK9910437903303321Graph embedding for pattern analysis4202496UNINA01256nam0 22002891i 450 UON0028345120231205103847.74020061108d1949 |0itac50 bafreFR|||| 1||||Aspects de GoetheGoethe et notre tempsAlbert FuchsStrasbourgPublications de la Faculté des Lettres de l'Université de Strasbourg ; ParisSociété d'éditions Les Belles Lettres194970 p.19 cm.Goethe Johann Wolfgang VonUONC061101FIFRParisUONL002984FRStrasbourgUONL003279830.09Letteratura tedesca. Storia, descrizione, studi critici21FUCHSAlbertUONV129399160616Les Belles LettresUONV245913650Publications de la Faculté des Lettres de l'Université de StrasbourgUONV268826650ITSOL20250613RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00283451SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI TED 22 II GOE FUC SI ST 3718 7 Aspects de Goethe1244656UNIOR