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.

Πίνακας περιεχομένων:

• 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.