LEADER 04418nam 2200625 a 450 001 9910484432703321 005 20200520144314.0 010 $a3-540-69939-2 024 7 $a10.1007/978-3-540-69939-2 035 $a(CKB)1000000000440813 035 $a(SSID)ssj0000355445 035 $a(PQKBManifestationID)11294234 035 $a(PQKBTitleCode)TC0000355445 035 $a(PQKBWorkID)10337784 035 $a(PQKB)10665117 035 $a(DE-He213)978-3-540-69939-2 035 $a(MiAaPQ)EBC3068649 035 $a(PPN)127051988 035 $a(EXLCZ)991000000000440813 100 $a20080522d2008 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aArtificial neural networks in pattern recognition $ethird IAPR TC3 workshop, ANNPR 2008 Paris, France, July 2-4, 2008 : proceedings /$fLionel Prevost, Simone Marinai, Friedhelm Schwenker (eds.) 205 $a1st ed. 2008. 210 $aBerlin $cSpringer$d2008 215 $a1 online resource (IX, 322 p.) 225 1 $aLNCS sublibrary. SL 7, Artificial intelligence 225 1 $aLecture notes in artificial intelligence,$x0302-9743 ;$v5064 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-69938-4 320 $aIncludes bibliographical references and index. 327 $aUnsupervised Learning -- Patch Relational Neural Gas ? Clustering of Huge Dissimilarity Datasets -- The Block Generative Topographic Mapping -- Kernel k-Means Clustering Applied to Vector Space Embeddings of Graphs -- Probabilistic Models Based on the ?-Sigmoid Distribution -- How Robust Is a Probabilistic Neural VLSI System Against Environmental Noise -- Supervised Learning -- Sparse Least Squares Support Vector Machines by Forward Selection Based on Linear Discriminant Analysis -- Supervised Incremental Learning with the Fuzzy ARTMAP Neural Network -- Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics -- Neural Approximation of Monte Carlo Policy Evaluation Deployed in Connect Four -- Cyclostationary Neural Networks for Air Pollutant Concentration Prediction -- Fuzzy Evolutionary Probabilistic Neural Networks -- Experiments with Supervised Fuzzy LVQ -- A Neural Network Approach to Similarity Learning -- Partial Discriminative Training of Neural Networks for Classification of Overlapping Classes -- Multiple Classifiers -- Boosting Threshold Classifiers for High? Dimensional Data in Functional Genomics -- Decision Fusion on Boosting Ensembles -- The Mixture of Neural Networks as Ensemble Combiner -- Combining Methods for Dynamic Multiple Classifier Systems -- Researching on Multi-net Systems Based on Stacked Generalization -- Applications -- Real-Time Emotion Recognition from Speech Using Echo State Networks -- Sentence Understanding and Learning of New Words with Large-Scale Neural Networks -- Multi-class Vehicle Type Recognition System -- A Bio-inspired Neural Model for Colour Image Segmentation -- Mining Software Aging Patterns by Artificial Neural Networks -- Bayesian Classifiers for Predicting the Outcome of Breast Cancer Preoperative Chemotherapy -- Feature Selection -- Feature Ranking Ensembles for Facial Action Unit Classification -- Texture Classification with Generalized Fourier Descriptors in Dimensionality Reduction Context: An Overview Exploration -- Improving Features Subset Selection Using Genetic Algorithms for Iris Recognition -- Artificial Neural Network Based Automatic Face Model Generation System from Only One Fingerprint. 410 0$aLecture notes in computer science.$pLecture notes in artificial intelligence ;$v5064. 410 0$aLNCS sublibrary.$nSL 7,$pArtificial intelligence. 517 3 $aANNPR 2008 606 $aPattern recognition systems$vCongresses 606 $aNeural networks (Computer science)$vCongresses 606 $aArtificial intelligence$vCongresses 615 0$aPattern recognition systems 615 0$aNeural networks (Computer science) 615 0$aArtificial intelligence 676 $a006.312 701 $aPrevost$b Lionel$01760003 701 $aMarinai$b Simone$0508419 701 $aSchwenker$b Friedhelm$01361227 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484432703321 996 $aArtificial neural networks in pattern recognition$94198723 997 $aUNINA