Computational Intelligence for Pattern Recognition

The book presents a comprehensive and up-to-date review of fuzzy pattern recognition. It carefully discusses a range of methodological and algorithmic issues, as well as implementations and case studies, and identifies the best design practices, assesses business models and practices of pattern reco...

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Bibliographische Detailangaben
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Cham : Springer International Publishing, 2018.
Ausgabe:1st ed. 2018.
Schriftenreihe:Studies in Computational Intelligence, 777
Schlagworte:
ISBN:9783319896298
ISSN:1860-949X ;
Online-Zugang: Volltext
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Inhaltsangabe:
  • Robust Constrained Concept Factorization
  • An Automatic Cycling Performance Measurement System Based on ANFIS
  • Fuzzy Classifiers Learned Through SVMs With Application to Specific Object Detection and Shape Extraction Using an RGB-D Camera
  • Low Cost Parkinson's Disease Early Detection and Classification Based on Voice and Electromyography Signal
  • Particle Swarm Optimization Based HMM Parameter Estimation for Spectrum Sensing in Cognitive Radio System
  • Improving Sparse Representation-Based Classification Using Local Principal Component Analysis
  • Fuzzy Choquet Integration of Deep Convolutional Neural Networks for Remote Sensing
  • Computational Intelligence for Pattern Recognition in EEG Signals
  • Neural Network Based Physical Disorder Recognition for Elderly Health Care
  • Deep Neural Networks for Structured Data
  • Recognizing Subtle Micro-Facial Expressions Using Fuzzy Histogram of Optical Flow Orientations and Feature Selection Methods
  • Granular Computing Techniques for Bioinformatics Pattern Recognition Problems in Non-Metric Spaces
  • Multi-Classifier-Systems: Architectures, Algorithms and Applications
  • Learning Label Dependency and Label Preference Relations in Graded Multi-Label Classification
  • Improved Deep Neural Network Object Tracking System for Applications in Home Robotics.