01204nam0-22003611i-450 99000023441040332120200608085437.088-435-1981-6000023441FED01000023441(Aleph)000023441FED0100002344120001010d1986----km-y0itay50------baitaITa---b---001yyProgetto BicoccaG. Aulenti ... [et al.]MilanoElecta1986305 p.ill.28 cmConcorso internazionale di progettazione urbanistica e architettonica ideato e realizzato per iniziativa della Industrie Pirelli S.P.A.Catalogo della mostra tenuta alla Triennale di Milano nel 1986, in occasione della mostra "Il luogo del lavoro", 14 giugno-28 settembre 1986 a cura di Bernardo SecchiAulenti,GaeSecchi,BernardoITUNINARICAUNIMARCBK990000234410403321C 70 CANURB 1239/302DARPUURB.LE C 74INV.1959FARBCDARPUFARBCProgetto Bicocca117096UNINAING0105646nam 22008295 450 991048442610332120251226200234.03-540-37952-510.1007/11829898(CKB)1000000000283744(SSID)ssj0000316365(PQKBManifestationID)11246738(PQKBTitleCode)TC0000316365(PQKBWorkID)10263651(PQKB)10383110(DE-He213)978-3-540-37952-2(MiAaPQ)EBC3068263(PPN)123137713(BIP)34164220(BIP)13592588(EXLCZ)99100000000028374420100301d2006 u| 0engurnn|008mamaatxtccrArtificial Neural Networks in Pattern Recognition Second IAPR Workshop, ANNPR 2006, Ulm, Germany, August 31-September 2, 2006, Proceedings /edited by Friedhelm Schwenker, Simone Marinai1st ed. 2006.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2006.1 online resource (X, 302 p.) Lecture Notes in Artificial Intelligence,2945-9141 ;4087"The second IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2006, was held at the University of Ulm (Germany)"--Pref.3-540-37951-7 Includes bibliographical references and index.Unsupervised Learning -- Simple and Effective Connectionist Nonparametric Estimation of Probability Density Functions -- Comparison Between Two Spatio-Temporal Organization Maps for Speech Recognition -- Adaptive Feedback Inhibition Improves Pattern Discrimination Learning -- Semi-supervised Learning -- Supervised Batch Neural Gas -- Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes -- On the Effects of Constraints in Semi-supervised Hierarchical Clustering -- A Study of the Robustness of KNN Classifiers Trained Using Soft Labels -- Supervised Learning -- An Experimental Study on Training Radial Basis Functions by Gradient Descent -- A Local Tangent Space Alignment Based Transductive Classification Algorithm -- Incremental Manifold Learning Via Tangent Space Alignment -- A Convolutional Neural Network Tolerant of Synaptic Faults for Low-Power Analog Hardware -- Ammonium Estimation in a Biological Wastewater Plant Using Feedforward Neural Networks -- Support Vector Learning -- Support Vector Regression Using Mahalanobis Kernels -- Incremental Training of Support Vector Machines Using Truncated Hypercones -- Fast Training of Linear Programming Support Vector Machines Using Decomposition Techniques -- Multiple Classifier Systems -- Multiple Classifier Systems for Embedded String Patterns -- Multiple Neural Networks for Facial Feature Localization in Orientation-Free Face Images -- Hierarchical Neural Networks Utilising Dempster-Shafer Evidence Theory -- Combining MF Networks: A Comparison Among Statistical Methods and Stacked Generalization -- Visual Object Recognition -- Object Detection and Feature Base Learning with Sparse Convolutional Neural Networks -- Visual Classification of Images by Learning Geometric Appearances Through Boosting -- An Eye Detection System Based on Neural Autoassociators -- Orientation Histograms for Face Recognition -- Data Mining in Bioinformatics -- An Empirical Comparison of Feature Reduction Methods in the Context of Microarray Data Classification -- Unsupervised Feature Selection for Biomarker Identification in Chromatography and Gene Expression Data -- Learning and Feature Selection Using the Set Covering Machine with Data-Dependent Rays on Gene Expression Profiles.This book constitutes the refereed proceedings of the Second IAPR Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2006, held in Ulm, Germany in August/September 2006. The 26 revised papers presented were carefully reviewed and selected from 49 submissions. The papers are organized in topical sections on unsupervised learning, semi-supervised learning, supervised learning, support vector learning, multiple classifier systems, visual object recognition, and data mining in bioinformatics.Lecture Notes in Artificial Intelligence,2945-9141 ;4087Artificial intelligencePattern recognition systemsApplication softwareComputer scienceElectronic data processingManagementBioinformaticsArtificial IntelligenceAutomated Pattern RecognitionComputer and Information Systems ApplicationsTheory of ComputationIT OperationsBioinformaticsArtificial intelligence.Pattern recognition systems.Application software.Computer science.Electronic data processingManagement.Bioinformatics.Artificial Intelligence.Automated Pattern Recognition.Computer and Information Systems Applications.Theory of Computation.IT Operations.Bioinformatics.006.4Schwenker Friedhelm1361227Marinai Simone508419MiAaPQMiAaPQMiAaPQBOOK9910484426103321Artificial neural networks in pattern recognition4188475UNINA