Computational Intelligence for Pattern Recognition

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Pedrycz, Witold (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Chen, Shyi-Ming (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Studies in Computational Intelligence, 777
• Θέματα: Computational intelligence.; Artificial intelligence.; Pattern recognition.; Computational Intelligence.; Artificial Intelligence.; 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...

Πίνακας περιεχομένων:

• 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.