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  • Produktbild: Advances in Self-Organizing Maps
  • Produktbild: Advances in Self-Organizing Maps

Advances in Self-Organizing Maps 7th International Workshop, WSOM 2009, St. Augustine, Florida, June 8-10, 2009. Proceedings

Aus der Reihe Lecture Notes in Computer Science

51,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.05.2009

Herausgeber

J.C. Principe + weitere

Verlag

Springer Berlin

Seitenzahl

374

Maße (L/B/H)

23,5/15,5/2,1 cm

Gewicht

587 g

Auflage

2009

Sprache

Englisch

ISBN

978-3-642-02396-5

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.05.2009

Herausgeber

Verlag

Springer Berlin

Seitenzahl

374

Maße (L/B/H)

23,5/15,5/2,1 cm

Gewicht

587 g

Auflage

2009

Sprache

Englisch

ISBN

978-3-642-02396-5

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Advances in Self-Organizing Maps
  • Produktbild: Advances in Self-Organizing Maps
  • Batch-Learning Self-Organizing Map for Predicting Functions of Poorly-Characterized Proteins Massively Accumulated.- Incremental Unsupervised Time Series Analysis Using Merge Growing Neural Gas.- Clustering Hierarchical Data Using Self-Organizing Map: A Graph-Theoretical Approach.- Time Series Clustering for Anomaly Detection Using Competitive Neural Networks.- Fault Prediction in Aircraft Engines Using Self-Organizing Maps.- Incremental Figure-Ground Segmentation Using Localized Adaptive Metrics in LVQ.- Application of Supervised Pareto Learning Self Organizing Maps and Its Incremental Learning.- Gamma SOM for Temporal Sequence Processing.- Fuzzy Variant of Affinity Propagation in Comparison to Median Fuzzy c-Means.- Clustering with Swarm Algorithms Compared to Emergent SOM.- Cartograms, Self-Organizing Maps, and Magnification Control.- Concept Mining with Self-Organizing Maps for the Semantic Web.- ViSOM for Dimensionality Reduction in Face Recognition.- Early Recognition of Gesture Patterns Using Sparse Code of Self-Organizing Map.- Bag-of-Features Codebook Generation by Self-Organisation.- On the Quantization Error in SOM vs. VQ: A Critical and Systematic Study.- Approaching the Time Dependent Cocktail Party Problem with Online Sparse Coding Neural Gas.- Career-Path Analysis Using Optimal Matching and Self-Organizing Maps.- Network-Structured Particle Swarm Optimizer with Various Topology and Its Behaviors.- Representing Semantic Graphs in a Self-Organizing Map.- Analytic Comparison of Self-Organising Maps.- Modeling the Bilingual Lexicon of an Individual Subject.- Self-Organizing Maps with Non-cooperative Strategies (SOM-NC).- Analysis of Parliamentary Election Results and Socio-Economic Situation Using Self-Organizing Map.- Line Image Classification by NG×SOM: Application to Handwritten Character Recognition.- Self-Organization of Tactile Receptive Fields: Exploring Their Textural Origin and Their Representational Properties.- Visualization by Linear Projections as Information Retrieval.- Analyzing Domestic Violence with Topographic Maps: A Comparative Study.- On the Finding Process of Volcano-Domain Ontology Components Using Self-Organizing Maps.- Elimination of Useless Neurons in Incremental Learnable Self-Organizing Map.- Hierarchical PCA Using Tree-SOM for the Identification of Bacteria.- Optimal Combination of SOM Search in Best-Matching Units and Map Neighborhood.- Sparse Linear Combination of SOMs for Data Imputation: Application to Financial Database.- Towards Semi-supervised Manifold Learning: UKR with Structural Hints.- Construction of a General Physical Condition Judgment System Using Acceleration Plethysmogram Pulse-Wave Analysis.- Top-Down Control of Learning in Biological Self-Organizing Maps.- Functional Principal Component Learning Using Oja’s Method and Sobolev Norms.- A Computational Framework for Nonlinear Dimensionality Reduction and Clustering.- The Exploration Machine – A Novel Method for Data Visualization.- Generalized Self-Organizing Mixture Autoregressive Model.- An SOM-Hybrid Supervised Model for the Prediction of Underlying Physical Parameters from Near-Infrared Planetary Spectra.