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Advances in Self-Organizing Maps

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Cover of 'Advances in Self-Organizing Maps'

Table of Contents

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    Book Overview
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    Chapter 1 Topographic Mapping of Dissimilarity Data
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    Chapter 2 Contextually Self-Organized Maps of Chinese Words
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    Chapter 3 Assessing the Efficiency of Health Care Providers: A SOM Perspective
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    Chapter 4 Fuzzy Clustering of the Self-Organizing Map: Some Applications on Financial Time Series
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    Chapter 5 Self Organizing Maps as Models of Social Processes: The Case of Electoral Preferences
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    Chapter 6 EnvSOM: A SOM Algorithm Conditioned on the Environment for Clustering and Visualization
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    Chapter 7 Spectral Clustering as an Automated SOM Segmentation Tool
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    Chapter 8 Sparse Functional Relevance Learning in Generalized Learning Vector Quantization
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    Chapter 9 Relevance Learning in Unsupervised Vector Quantization Based on Divergences
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    Chapter 10 Requirements for the Learning of Multiple Dynamics
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    Chapter 11 Growing Graph Network Based on an Online Gaussian Mixture Model
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    Chapter 12 Evolving a Self-Organizing Feature Map for Visual Object Tracking
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    Chapter 13 Topographic Measure Based on External Criteria for Self-Organizing Map
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    Chapter 14 Influence of Learning Rates and Neighboring Functions on Self-Organizing Maps
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    Chapter 15 Gamma-Filter Self-Organizing Neural Networks for Time Series Analysis
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    Chapter 16 Self-Organizing Maps of Nutrition, Lifestyle and Health Situation in the World
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    Chapter 17 Mining the City Data: Making Sense of Cities with Self-Organizing Maps
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    Chapter 18 A Discussion on Visual Interactive Data Exploration Using Self-Organizing Maps
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    Chapter 19 Design of a Structured 3D SOM as a Music Archive
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    Chapter 20 A Novel Bioinformatics Strategy to Predict Directional Changes of Influenza A Virus Genome Sequences
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    Chapter 21 Impairment and Rehabilitation in Bilingual Aphasia: A SOM-Based Model
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    Chapter 22 Gaussian Selection Using Self-Organizing Map for Automatic Speech Recognition
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    Chapter 23 Self Organizing Maps in NLP: Exploration of Coreference Feature Space
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    Chapter 24 On Wires and Cables: Content Analysis of WikiLeaks Using Self-Organising Maps
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    Chapter 25 Media Map: A Multilingual Document Map with a Design Interface
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    Chapter 26 A New Label Maximization Based Incremental Neural Clustering Approach: Application to Text Clustering
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    Chapter 27 A SOM-Based Analysis of Early Prosodic Acquisition of English by Brazilian Learners: Preliminary Results
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    Chapter 28 A General Framework for Dimensionality Reduction for Large Data Sets
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    Chapter 29 Considering Spatialization Aspects When Positioning Input Vectors on Self-Organizing Map Output Grids
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    Chapter 30 Aircraft Engine Fleet Monitoring Using Self-Organizing Maps and Edit Distance
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    Chapter 31 Classification Using Topologically Preserving Spherical Self-Organizing Maps
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    Chapter 32 Visualizing Patterns in the Air Quality in Mexico City with Self-Organizing Maps
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    Chapter 33 Decision of Class Borders on a Spherical SOM with Non-equal Class Distributions
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    Chapter 34 Analysing the Structure of Semantic Concepts in Visual Databases
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    Chapter 35 Mapping of the 3D Objects Using Computer Generated Hologram SOM
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    Chapter 36 Analysing the Similarity of Album Art with Self-Organising Maps
Attention for Chapter 12: Evolving a Self-Organizing Feature Map for Visual Object Tracking
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Chapter title
Evolving a Self-Organizing Feature Map for Visual Object Tracking
Chapter number 12
Book title
Advances in Self-Organizing Maps
Published by
Springer, Berlin, Heidelberg, June 2011
DOI 10.1007/978-3-642-21566-7_12
Book ISBNs
978-3-64-221565-0, 978-3-64-221566-7
Authors

José Everardo B. Maia, Guilherme A. Barreto, André Luís V. Coelho, Maia, José Everardo B., Barreto, Guilherme A., Coelho, André Luís V.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 50%
Professor 1 25%
Unknown 1 25%
Readers by discipline Count As %
Computer Science 1 25%
Engineering 1 25%
Unknown 2 50%