LEADER 05118nam 22007695 450 001 996465767103316 005 20200630035225.0 010 $a3-642-33212-9 024 7 $a10.1007/978-3-642-33212-8 035 $a(CKB)3400000000086204 035 $a(SSID)ssj0000767453 035 $a(PQKBManifestationID)11419307 035 $a(PQKBTitleCode)TC0000767453 035 $a(PQKBWorkID)10740437 035 $a(PQKB)10831191 035 $a(DE-He213)978-3-642-33212-8 035 $a(MiAaPQ)EBC3070078 035 $a(PPN)168323842 035 $a(EXLCZ)993400000000086204 100 $a20120911d2012 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aArtificial Neural Networks in Pattern Recognition$b[electronic resource] $e5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012, Trento, Italy, September 17-19, 2012, Proceedings /$fedited by Nadia Mana, Friedhelm Schwenker, Edmondo Trentin 205 $a1st ed. 2012. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2012. 215 $a1 online resource (X, 245 p. 80 illus.) 225 1 $aLecture Notes in Artificial Intelligence ;$v7477 300 $aInternational conference proceedings. 311 $a3-642-33211-0 320 $aIncludes bibliographical references and author index. 327 $aLearning Algorithms -- How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning?- Kernel Robust Soft Learning Vector Quantization -- Incremental Learning by Message Passing in Hierarchical Temporal -- Representative Prototype Sets for Data Characterization and Classification -- Feature Selection by Block Addition and Block Deletion -- Gradient Algorithms for Exploration/Exploitation Trade-Offs: Global and Local Variants -- Towards a Novel Probabilistic Graphical Model of Sequential Data: Fundamental Notions and a Solution to the Problem of Parameter Learning -- Towards a Novel Probabilistic Graphical Model of Sequential Data: A Solution to the Problem of Structure Learning and an Empirical Evaluation -- Statistical Recognition of a Set of Patterns Using Novel Probability Neural Network -- On Graph-Associated Matrices and Their Eigenvalues for Optical Character Recognition -- Classification of Segmented Objects through a Multi-net Approach -- On Instance Selection in Audio Based Emotion Recognition -- Grayscale Images and RGB Video: Compression by Morphological Neural Network -- NeuCube EvoSpike Architecture for Spatio-temporal Modelling and Pattern Recognition of Brain Signals. 330 $aThis book constitutes the refereed proceedings of the 5th INNS IAPR TC3 GIRPR International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2012, held in Trento, Italy, in September 2012. The 21 revised full papers presented were carefully reviewed and selected for inclusion in this volume. They cover a large range of topics in the field of neural network- and machine learning-based pattern recognition presenting and discussing the latest research, results, and ideas in these areas. 410 0$aLecture Notes in Artificial Intelligence ;$v7477 606 $aArtificial intelligence 606 $aPattern recognition 606 $aData mining 606 $aOptical data processing 606 $aUser interfaces (Computer systems) 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aUser Interfaces and Human Computer Interaction$3https://scigraph.springernature.com/ontologies/product-market-codes/I18067 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22005 615 0$aArtificial intelligence. 615 0$aPattern recognition. 615 0$aData mining. 615 0$aOptical data processing. 615 0$aUser interfaces (Computer systems). 615 14$aArtificial Intelligence. 615 24$aPattern Recognition. 615 24$aData Mining and Knowledge Discovery. 615 24$aImage Processing and Computer Vision. 615 24$aUser Interfaces and Human Computer Interaction. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 676 $a006.3 702 $aMana$b Nadia$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSchwenker$b Friedhelm$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTrentin$b Edmondo$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aANNPR 2012 906 $aBOOK 912 $a996465767103316 996 $aArtificial Neural Networks in Pattern Recognition$9772570 997 $aUNISA LEADER 02732nam 2200553 450 001 9910787642003321 005 20230828200518.0 010 $a1-84966-761-6 010 $a1-84966-762-4 035 $a(CKB)2670000000489874 035 $a(EBL)1561335 035 $a(OCoLC)863204189 035 $a(SSID)ssj0000686631 035 $a(PQKBManifestationID)11423485 035 $a(PQKBTitleCode)TC0000686631 035 $a(PQKBWorkID)10734676 035 $a(PQKB)10708183 035 $a(MiAaPQ)EBC1561335 035 $a(MiAaPQ)EBC6164469 035 $a(EXLCZ)992670000000489874 100 $a20200726d2006 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 14$aThe tragic idea /$fVassilis Lambropoulos 210 1$aLondon, England :$cBloomsbury,$d[2006] 210 4$d©2006 215 $a1 online resource (159 p.) 225 1 $aClassical inter/faces 300 $aDescription based upon print version of record. 311 $a0-7156-3558-1 320 $aIncludes bibliographical references (pages 149-156) and index. 327 $a""Friedrich Nietzsche (1872)""""Maurice Maeterlinck (1896)""; ""Sigmund Freud (1900)""; ""Fyodor Sologub (1908)""; ""Georg Simmel (1911)""; ""Georg LukA?¡cs (1911)""; ""Vyachislav Ivanov (1912)""; ""Miguel de Unamuno (1913)""; ""Max Scheler (1915)""; ""Oswald Spengler (1918)""; ""Franz Rosenzweig (1921)""; ""Walter Benjamin (1928)""; ""Joseph Wood Krutch (1929)""; ""Nikolai Berdyaev (1931)""; ""Martin Heidegger (1935)""; ""Epilogue""; ""Bibliography""; ""Index of Names""; ""A""; ""B""; ""C""; ""D""; ""E""; ""F""; ""G""; ""H""; ""I""; ""J""; ""K""; ""L""; ""M""; ""N""; ""O""; ""P""; ""R"" 327 $a""S""""U""; ""V""; ""W""; ""Z"" 330 $aThis radical series shows how Classical ideas and material have helped to shape the modern world. The interdisciplinary approach makes stimulating reading for all who welcome the challenge offered by new perspectives on Classical culture. Today we attribute a tragic quality to many things - works, experiences, values, events - but we forget how modern this idea is. This book traces the rise of the tragic idea from early Romanticism to late Modernism. Focusing on succinct, major statements, it maps one of the most absorbing philosophical conversations in modernity: the debate about the tragic m 410 0$aClassical inter/faces. 606 $aTragedy 615 0$aTragedy. 676 $a809.2512 700 $aLambropoulos$b Vassilis$f1953-$01491300 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910787642003321 996 $aThe tragic idea$93713089 997 $aUNINA