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Artificial Neural Networks in Pattern Recognition

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Cover of 'Artificial Neural Networks in Pattern Recognition'

Table of Contents

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    Book Overview
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    Chapter 1 Pattern Classification Using a Penalized Likelihood Method
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    Chapter 2 Evaluation of Feature Selection by Multiclass Kernel Discriminant Analysis
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    Chapter 3 Correlation-Based and Causal Feature Selection Analysis for Ensemble Classifiers
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    Chapter 4 A New Monte Carlo-Based Error Rate Estimator
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    Chapter 5 Recognition of Sequences of Graphical Patterns
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    Chapter 6 Maximum Echo-State-Likelihood Networks for Emotion Recognition
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    Chapter 7 Robustness Analysis of Eleven Linear Classifiers in Extremely High–Dimensional Feature Spaces
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    Chapter 8 Global Coordination Based on Matrix Neural Gas for Dynamic Texture Synthesis
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    Chapter 9 SIC-Means: A Semi-fuzzy Approach for Clustering Data Streams Using C-Means
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    Chapter 10 Artificial Neural Networks in Pattern Recognition
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    Chapter 11 Cluster Analysis of Cortical Pyramidal Neurons Using SOM
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    Chapter 12 Parallelized Kernel Patch Clustering
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    Chapter 13 Neural Network Cascade for Facial Feature Localization
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    Chapter 14 A Hidden Markov Model Based Approach for Facial Expression Recognition in Image Sequences
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    Chapter 15 Analysis, Interpretation, and Recognition of Facial Action Units and Expressions Using Neuro-Fuzzy Modeling
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    Chapter 16 Content-Based Retrieval and Classification of Ultrasound Medical Images of Ovarian Cysts
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    Chapter 17 A Novel Word Spotting Algorithm Using Bidirectional Long Short-Term Memory Neural Networks
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    Chapter 18 Swarm Based Fuzzy Discriminant Analysis for Multifunction Prosthesis Control
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    Chapter 19 Bayesian Learning of Generalized Gaussian Mixture Models on Biomedical Images
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    Chapter 20 Defective Areas Identification in Aircraft Components by Bivariate EMD Analysis of Ultrasound Signals
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    Chapter 21 Different Regions Identification in Composite Strain-Encoded (C-SENC) Images Using Machine Learning Techniques
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    Chapter 22 Exploiting Neural Networks to Enhance Trend Forecasting for Hotels Reservations
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    Chapter 23 VLSI Architecture of the Fuzzy Fingerprint Vault System
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    Chapter 24 Clustering Very Large Dissimilarity Data Sets
Attention for Chapter 20: Defective Areas Identification in Aircraft Components by Bivariate EMD Analysis of Ultrasound Signals
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Chapter title
Defective Areas Identification in Aircraft Components by Bivariate EMD Analysis of Ultrasound Signals
Chapter number 20
Book title
Artificial Neural Networks in Pattern Recognition
Published by
Springer, Berlin, Heidelberg, April 2010
DOI 10.1007/978-3-642-12159-3_20
Book ISBNs
978-3-64-212158-6, 978-3-64-212159-3
Authors

Marco Leo, David Looney, Tiziana D’Orazio, Danilo P. Mandic, Leo, Marco, Looney, David, D’Orazio, Tiziana, Mandic, Danilo P.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Computer Science 1 100%