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Soft Computing for Recognition Based on Biometrics

Author: Patricia Melin; Janusz Kacprzyk; Witold Pedrycz
Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Series: SpringerLink: Springer e-Books; Studies in Computational Intelligence, 312.
Edition/Format:   Computer file : English : Online-AusgView all editions and formats
Database:WorldCat
Summary:

This book describes bio-inspired models and applications of hybrid intelligent systems using soft computing techniques for image analysis and pattern recognition based on biometrics and other  Read more...

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Material Type: Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Patricia Melin; Janusz Kacprzyk; Witold Pedrycz
ISBN: 9783642151118 3642151116 9783642151101 3642151108
OCLC Number: 682060111
Reproduction Notes: Online-Ausg. Berlin [u.a.] Springer, 2010. online-Ressource.
Description: ... S.
Contents: Classification Algorithms and Applications.- Soft Computing Approaches to the Problem of Infant Cry Classification with Diagnostic Purposes.- Neural Networks and SVM-Based Classification of Leukocytes Using the Morphological Pattern Spectrum.- Hybrid System for Cardiac Arrhythmia Classification with Fuzzy K-Nearest Neighbors and Neural Networks Combined by a Fuzzy Inference System.- A Comparative Study of Blog Comments Spam Filtering with Machine Learning Techniques.- Distributed Implementation of an Intelligent Data Classifier.- Pattern Recognition.- Modular Neural Network with Fuzzy Integration and Its Optimization Using Genetic Algorithms for Human Recognition Based on Iris, Ear and Voice Biometrics.- Comparative Study of Type-2 Fuzzy Inference System Optimization Based on the Uncertainty of Membership Functions.- Modular Neural Network for Human Recognition from Ear Images Using Wavelets.- Modular Neural Networks for Person Recognition Using the Contour Segmentation of the Human Iris Biometric Measurement.- Real Time Face Identification Using a Neural Network Approach.- Comparative Study of Feature Extraction Methods of Fuzzy Logic Type 1 and Type-2 for Pattern Recognition System Based on the Mean Pixels.- Optimization Methods.- Application of the Bee Swarm Optimization BSO to the Knapsack Problem.- An Approach Based on Neural Networks for Gas Lift Optimization.- A New Evolutionary Method with Particle Swarm Optimization and Genetic Algorithms Using Fuzzy Systems to Dynamically Parameter Adaptation.- Local Survival Rule for Steer an Adaptive Ant-Colony Algorithm in Complex Systems.- Using Consecutive Swaps to Explore the Insertion Neighborhood in Tabu Search Solution of the Linear Ordering Problem.- A New Optimization Method Based on a Paradigm Inspired by Nature.- Theory and Algorithms.- Improvement of the Backpropagation Algorithm Using (1+1) Evolutionary Strategies.- Parallel Genetic Algorithms for Architecture Optimization of Neural Networks for Pattern Recognition.- Scene Recognition Based on Fusion of Color and Corner Features.- Improved Tabu Solution for the Robust Capacitated International Sourcing Problem (RoCIS).- Variable Length Number Chains Generation without Repetitions.- Comparative Analysis of Hybrid Techniques for an Ant Colony System Algorithm Applied to Solve a Real-World Transportation Problem.- Computer Vision Applications.- Comparison of Fuzzy Edge Detectors Based on the Image Recognition Rate as Performance Index Calculated with Neural Networks.- Intelligent Method for Contrast Enhancement in Digital Video.- Method for Obstacle Detection and Map Reconfiguration in Wheeled Mobile Robotics.- Automatic Dust Storm Detection Based on Supervised Classification of Multispectral Data.
Series Title: SpringerLink: Springer e-Books; Studies in Computational Intelligence, 312.
Responsibility: edited by Patricia Melin, Janusz Kacprzyk, Witold Pedrycz.
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