Artificial Neural Networks in Pattern Recognition Second IAPR Workshop, ANNPR 2006, Ulm, Germany, August 31-September 2, 2006. Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Schwenker, Friedhelm (Επιμελητής έκδοσης), Marinai, Simone (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.
• Σειρά: Lecture Notes in Computer Science, 4087
• Θέματα: Computer science.; Computers.; Artificial intelligence.; Pattern recognition.; Management information systems.; Bioinformatics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Pattern Recognition.; Information Systems Applications (incl. Internet).; Computation by Abstract Devices.; Management of Computing and Information Systems.

 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.