04590nam 2200625 a 450 991048442610332120200520144314.03-540-37952-510.1007/11829898(CKB)1000000000283744(SSID)ssj0000316365(PQKBManifestationID)11246738(PQKBTitleCode)TC0000316365(PQKBWorkID)10263651(PQKB)10383110(DE-He213)978-3-540-37952-2(MiAaPQ)EBC3068263(PPN)123137713(EXLCZ)99100000000028374420060720d2006 uy 0engurnn|008mamaatxtccrArtificial neural networks in pattern recognition Second IAPR Workshop, ANNPR 2006, Ulm, Germany, August 31-September 2, 2006 : proceedings /Friedhelm Schwenker, Simone Marinai (eds.)1st ed. 2006.Berlin Springer20061 online resource (X, 302 p.) LNCS sublibrary. SL 7, Artificial intelligenceLecture notes in computer science,0302-9743 ;4087.Lecture notes in artificial intelligence"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.Lecture notes in computer science ;4087.Lecture notes in computer science.Lecture notes in artificial intelligence.LNCS sublibrary.SL 7,Artificial intelligence.ANNPR 2006Pattern recognition systemsCongressesNeural networks (Computer science)CongressesArtificial intelligenceCongressesPattern recognition systemsNeural networks (Computer science)Artificial intelligence006.4Schwenker Friedhelm1361227Marinai Simone508419MiAaPQMiAaPQMiAaPQBOOK9910484426103321Artificial neural networks in pattern recognition4188475UNINA