Advances in Self-Organizing Maps and Learning Vector Quantization Proceedings of the 10th International Workshop, WSOM 2014, Mittweida, Germany, July, 2-4, 2014 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Villmann, Thomas (Επιμελητής έκδοσης), Schleif, Frank-Michael (Επιμελητής έκδοσης), Kaden, Marika (Επιμελητής έκδοσης), Lange, Mandy (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Σειρά: Advances in Intelligent Systems and Computing, 295
• Θέματα: Engineering.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).

The book collects the scientific contributions presented at the 10th Workshop on Self-Organizing Maps (WSOM 2014) held at the University of Applied Sciences Mittweida, Mittweida (Germany, Saxony), on July 2–4, 2014. Starting with the first WSOM-workshop 1997 in Helsinki this workshop focuses on newe...

Πίνακας περιεχομένων:

• How Many Dissimilarity/Kernel Self Organizing Map Variants Do We Need
• Dynamic formation of self-organizing maps
• MS-SOM: Magnitude Sensitive Self-Organizing Maps.- Bagged Kernel SOM
• Probability ridges and distortion flows: Visualizing multivariate time series using a variational Bayesian manifold learning method
• Short review of dimensionality reduction methods based on stochastic neighbour embedding
• Attention based Classification Learning in GLVQ and Asymmetric Classification Error Assessment.-Visualization and Classification of DNA sequences using Pareto learning Self Organizing Maps based on Frequency and Correlation Coefficient
• Probabilistic prototype classification using t-norms
• Rejection Strategies for Learning Vector Quantization – a Comparison of Probabilistic and Deterministic Approaches
• Comparison of spectrum cluster analysis with PCA and spherical SOM and related issues not amenable to PCA
• Exploiting the structures of the U-matrix
• Partial Mutual Information for Classification Analysis of Gene expression Data by Learning Vector Quantization
• Composition of Learning Patterns using Spherical Self-Organizing Maps in Image Analysis with Subspace Classifier
• Self-Organizing Map for the Prize-Collecting Traveling Salesman Problem
• A Survey of SOM-based Active Contour Models for Image Segmentation
• Biologically Plausible SOM Representation of the Orthographic Form of 50,000 French Words
• Prototype-based classifiers and their application in the life sciences
• Generative versus discriminative prototype based classification.- Some room for GLVQ: Semantic Labeling of occupancy grid maps
• Anomaly detection based on confidence intervals using SOM with an application to Health Monitoring
• RFSOM - Extending Self-Organizing feature Maps with adaptive metrics to combine spatial and textural features for body pose estimation
• Beyond Standard Metrics - On the Selection and Combination of Distance Metrics for an Improved
• Classification of Hyperspectral Data
• The Sky Is Not the Limit
• Development of Target Reaching Gesture Map in the Cortex and Its Relation to the Motor Map: A Simulation Study
• A Concurrent SOM-based Chan-Vese Model for Image Segmentation
• Text mining of life-philosophicl insights
• SOMbrero: an R Package for Numeric and Non-numeric Self-Organizing Maps
• K-Nearest Neighbor Nonnegative Matrix Factorization for Learning a Mixture of Local SOM Models.