LEADER 02698nam 2200565 450 001 9910155372103321 005 20220121235326.0 010 $a3-95487-190-4 024 7 $a10.31819/9783954871902 035 $a(CKB)3710000000974836 035 $a(MiAaPQ)EBC5635323 035 $a(DE-B1597)516423 035 $a(OCoLC)1091711709 035 $a(DE-B1597)9783954871902 035 $a(MiAaPQ)EBC6320114 035 $a(EXLCZ)993710000000974836 100 $a20210113d2014 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aTranslation as conquest $eSahagu?n and Universal history of the things of New Spain /$fVictoria Ri?os Castan?o 210 1$aMadrid ;$aFrankfurt am Main :$cIberoamericana :$cVervuert,$d[2014] 210 4$d©2014 215 $a1 online resource (320 pa?ginas) 225 1 $aParecos y australes ;$v13 300 $aIncluye i?ndice. 311 0 $a84-8489-659-5 320 $aIncludes bibliographical references (pages 281-312) and index. 327 $tFront matter --$tTable of Contents --$tAcknowledgements --$tIntroduction --$tCHAPTER 1. Sahagún's Education and Franciscan Training in Spain --$tCHAPTER 2: Sahagún and the Spiritual Conquest of New Spain --$tCHAPTER 3: Sahagún's Intellectual Models for the Composition of Historia universal --$tCHAPTER 4: Inquisitorial Techniques as Sahagún's Method of Data Collection --$tCHAPTER 5: The Composition of Historia universal: Sahagún, the Respondents, and the Assistants --$tConclusion --$tAPPENDIX I: Contents of Historia universal --$tAPPENDIX II Comparison of Contents --$tAPPENDIX III Sahagún's Rearrangement of Contents --$tBibliography --$tIndex 330 $aThe title Translation as Conquest serves as a twofold metaphor that associates translation, conquest, and conversion and claims the role of Sahagún as the controlling mind of the translation process and as the editor of the cultural translation product. 410 0$aParecos y australes ;$v13. 606 $aFranciscans$zMexico$xHistory$y16th century 606 $aNahuatl language$vEarly works to 1800 606 $aIndians of Mexico$xHistory$y16th century 607 $aMexico$xHistory$ySpanish colony, 1540-1810 608 $aElectronic books. 615 0$aFranciscans$xHistory 615 0$aNahuatl language 615 0$aIndians of Mexico$xHistory 676 $a972.02092 700 $aRi?os Castan?o$b Victoria$01067989 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910155372103321 996 $aTranslation as conquest$92552337 997 $aUNINA LEADER 00817nam0-2200265 --450 001 9910598381803321 005 20221104113659.0 100 $a20221104d1954----kmuy0itay5050 ba 101 0 $aeng 102 $aUS 105 $a 001yy 200 1 $aSource readings in economic thought$fedited by Philip C. Newman, Arthur D. Gayer, Milton H. Spencer 210 $aNew York$cW. W. Norton & Company$d1954 215 $aIX, 762 p.$d24 cm 676 $a330.82$v19$zita 700 1$aNewman,$bPhilip Cahrles$0147868 701 1$aSpencer,$bMilton H.$0108578 701 1$aGayer,$bArthur David$0123328 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910598381803321 952 $aXV D 189$b47434$fFGBC 959 $aFGBC 996 $aSource readings in economic thought$92960443 997 $aUNINA LEADER 06226nam 22008775 450 001 9910484584103321 005 20251226193418.0 010 $a3-319-18224-2 024 7 $a10.1007/978-3-319-18224-7 035 $a(CKB)3710000000416822 035 $a(SSID)ssj0001501499 035 $a(PQKBManifestationID)11848049 035 $a(PQKBTitleCode)TC0001501499 035 $a(PQKBWorkID)11447121 035 $a(PQKB)10490990 035 $a(DE-He213)978-3-319-18224-7 035 $a(MiAaPQ)EBC6283237 035 $a(MiAaPQ)EBC5587335 035 $a(Au-PeEL)EBL5587335 035 $a(OCoLC)909023169 035 $a(PPN)186029586 035 $a(EXLCZ)993710000000416822 100 $a20150504d2015 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aGraph-Based Representations in Pattern Recognition $e10th IAPR-TC-15 International Workshop, GbRPR 2015, Beijing, China, May 13-15, 2015. Proceedings /$fedited by Cheng-Lin Liu, Bin Luo, Walter G. Kropatsch, Jian Cheng 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (XII, 376 p. 110 illus.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v9069 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-319-18223-4 327 $aGraph-based Representation -- Approximation of Graph Edit Distance in Quadratic Time -- Data Graph Formulation as the Minimum-Weight Maximum-Entropy Problem -- An Entropic Edge Assortativity Measure -- A Subpath Kernel for Learning Hierarchical Image Representations -- Coupled-Feature Hypergraph Representation for Feature Selection -- Reeb Graphs Through Local Binary Patterns -- Incremental embedding within a dissimilarity-based framework -- Graph Matching -- A First Step Towards Exact Graph Edit Distance Using Bipartite Graph Matching -- Consensus of Two Graph Correspondences through a Generalisation of the Bipartite Graph Matching Algorithm -- Revisiting Volegnant-Jonker for Approximating Graph Edit Distance -- A Hypergraph Matching Framework for Refining Multi-source Feature Correspondences -- Kite Recognition by means of Graph Matching -- GEM++: a tool for solving substitution-tolerant subgraph isomorphism -- A Graph Database Repository and Performance Evaluation Metrics for Graph Edit Distance -- Improving Hausdorff Edit Distance Using Structural Node Context -- Learning Graph Model for Different Dimensions Image Matching -- VF2 Plus: An Improved Version of VF2 For Biological Graphs -- Report on the First Contest on Graph Matching Algorithms for Pattern Search in Biological Databases -- Approximate Graph Edit Distance Computation Combining Bipartite Matching and Exact Neighborhood Substructure Distance -- Multi-layer Tree Matching Using HSTs -- Large-scale Graph Indexing using Binary Embeddings of Node Contexts -- Attributed Relational Graph Matching with Sparse Relaxation and Bistochastic Normalization -- Graph Clustering and Classification.-On the Influence of Node Centralities on Graph Edit Distance for Graph Classification -- A Mixed Weisfeiler-Lehman Graph Kernel -- A Quantum Jensen-Shannon Graph Kernel using Discrete-time Quantum Walks -- Density Based Cluster Extension and Dominant Sets Clustering -- Salient Object Segmentation from Stereoscopic Images -- Causal Video Segmentation using Superseeds and Graph Matching -- Fast Minimum Spanning Tree based Clustering Algorithms on Local Neighborhood Graph -- Graph-based Application -- From bags to graphs of stereo subgraphs in order to predict molecule's properties -- Thermodynamics of Time Evolving Networks -- Isometric Mapping Hashing -- Skeletal Graphs from Schrodinger Magnitude and Phase -- Graph Based Lymphatic Vessel Wall Localisation and Tracking -- A Comic Retrieval System Based on Multilayer Graph Representation and Graph Mining -- Learning High-Order Structures for Texture Retrieval. 330 $aThis book constitutes the refereed proceedings of the 10th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2015, held in Beijing, China, in May 2015. The 36 papers presented in this volume were carefully reviewed and selected from 53 submissions. The accepted papers cover diverse issues of graph-based methods and applications, with 7 in graph representation, 15 in graph matching, 7 in graph clustering and classification, and 7 in graph-based applications. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v9069 606 $aPattern recognition systems 606 $aComputer vision 606 $aComputer graphics 606 $aComputer science$xMathematics 606 $aDiscrete mathematics 606 $aArtificial intelligence$xData processing 606 $aAlgorithms 606 $aAutomated Pattern Recognition 606 $aComputer Vision 606 $aComputer Graphics 606 $aDiscrete Mathematics in Computer Science 606 $aData Science 606 $aAlgorithms 615 0$aPattern recognition systems. 615 0$aComputer vision. 615 0$aComputer graphics. 615 0$aComputer science$xMathematics. 615 0$aDiscrete mathematics. 615 0$aArtificial intelligence$xData processing. 615 0$aAlgorithms. 615 14$aAutomated Pattern Recognition. 615 24$aComputer Vision. 615 24$aComputer Graphics. 615 24$aDiscrete Mathematics in Computer Science. 615 24$aData Science. 615 24$aAlgorithms. 676 $a006.4 702 $aLiu$b Cheng-Lin$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLuo$b Bin$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKropatsch$b Walter G$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCheng$b Jian$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484584103321 996 $aGraph-Based Representations in Pattern Recognition$9772063 997 $aUNINA