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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| Other Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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| Edition: | 1st ed. 2018. |
| Series: | Studies in Computational Intelligence,
777 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- 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.
