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Soft Computing for Recognition Based on Biometrics

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Cover of 'Soft Computing for Recognition Based on Biometrics'

Table of Contents

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    Book Overview
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    Chapter 1 Soft Computing Approaches to the Problem of Infant Cry Classification with Diagnostic Purposes
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    Chapter 2 Neural Networks and SVM-Based Classification of Leukocytes Using the Morphological Pattern Spectrum
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    Chapter 3 Hybrid System for Cardiac Arrhythmia Classification with Fuzzy K-Nearest Neighbors and Neural Networks Combined by a Fuzzy Inference System
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    Chapter 4 A Comparative Study of Blog Comments Spam Filtering with Machine Learning Techniques
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    Chapter 5 Distributed Implementation of an Intelligent Data Classifier
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    Chapter 6 Modular Neural Network with Fuzzy Integration and Its Optimization Using Genetic Algorithms for Human Recognition Based on Iris, Ear and Voice Biometrics
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    Chapter 7 Comparative Study of Type-2 Fuzzy Inference System Optimization Based on the Uncertainty of Membership Functions
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    Chapter 8 Modular Neural Network for Human Recognition from Ear Images Using Wavelets
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    Chapter 9 Modular Neural Networks for Person Recognition Using the Contour Segmentation of the Human Iris Biometric Measurement
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    Chapter 10 Real Time Face Identification Using a Neural Network Approach
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    Chapter 11 Comparative Study of Feature Extraction Methods of Fuzzy Logic Type 1 and Type-2 for Pattern Recognition System Based on the Mean Pixels
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    Chapter 12 Application of the Bee Swarm Optimization BSO to the Knapsack Problem
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    Chapter 13 An Approach Based on Neural Networks for Gas Lift Optimization
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    Chapter 14 A New Evolutionary Method with Particle Swarm Optimization and Genetic Algorithms Using Fuzzy Systems to Dynamically Parameter Adaptation
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    Chapter 15 Local Survival Rule for Steer an Adaptive Ant-Colony Algorithm in Complex Systems
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    Chapter 16 Using Consecutive Swaps to Explore the Insertion Neighborhood in Tabu Search Solution of the Linear Ordering Problem
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    Chapter 17 A New Optimization Method Based on a Paradigm Inspired by Nature
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    Chapter 18 Improvement of the Backpropagation Algorithm Using (1+1) Evolutionary Strategies
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    Chapter 19 Parallel Genetic Algorithms for Architecture Optimization of Neural Networks for Pattern Recognition
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    Chapter 20 Scene Recognition Based on Fusion of Color and Corner Features
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    Chapter 21 Improved Tabu Solution for the Robust Capacitated International Sourcing Problem (RoCIS)
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    Chapter 22 Variable Length Number Chains Generation without Repetitions
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    Chapter 23 Comparative Analysis of Hybrid Techniques for an Ant Colony System Algorithm Applied to Solve a Real-World Transportation Problem
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    Chapter 24 Comparison of Fuzzy Edge Detectors Based on the Image Recognition Rate as Performance Index Calculated with Neural Networks
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    Chapter 25 Intelligent Method for Contrast Enhancement in Digital Video
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    Chapter 26 Method for Obstacle Detection and Map Reconfiguration in Wheeled Mobile Robotics
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    Chapter 27 Automatic Dust Storm Detection Based on Supervised Classification of Multispectral Data
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Title
Soft Computing for Recognition Based on Biometrics
Published by
Springer Berlin Heidelberg, September 2010
DOI 10.1007/978-3-642-15111-8
ISBNs
978-3-64-215110-1, 978-3-64-215111-8
Editors

Melin, Patricia, Kacprzyk, Janusz, Pedrycz, Witold

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 4%
Thailand 1 4%
Japan 1 4%
Canada 1 4%
Unknown 22 85%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 23%
Student > Bachelor 4 15%
Student > Ph. D. Student 3 12%
Student > Doctoral Student 3 12%
Other 2 8%
Other 8 31%
Readers by discipline Count As %
Computer Science 14 54%
Engineering 6 23%
Mathematics 3 12%
Unspecified 1 4%
Social Sciences 1 4%
Other 1 4%