Computational Intelligence for Pattern Recognition

Description

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 recognition in real-world applications in industry, health care, administration, and business. Since the inception of fuzzy sets, fuzzy pattern recognition with its methodology, algorithms, and applications, has offered new insights into the principles and practice of pattern classification. Computational intelligence (CI) establishes a comprehensive framework aimed at fostering the paradigm of pattern recognition. The collection of contributions included in this book offers a representative overview of the advances in the area, with timely, in-depth and comprehensive material on the conceptually appealing and practically sound methodology and practices of CI-based pattern recognition. Front Matter ....Pages i-viii Fuzzy Choquet Integration of Deep Convolutional Neural Networks for Remote Sensing (Derek T. Anderson, Grant J. Scott, Muhammad Aminul Islam, Bryce Murray, Richard Marcum)....Pages 1-28 Deep Neural Networks for Structured Data (Monica Bianchini, Giovanna Maria Dimitri, Marco Maggini, Franco Scarselli)....Pages 29-51 Granular Computing Techniques for Bioinformatics Pattern Recognition Problems in Non-metric Spaces (Alessio Martino, Alessandro Giuliani, Antonello Rizzi)....Pages 53-81 Multi-classifier-Systems: Architectures, Algorithms and Applications (Peter Bellmann, Patrick Thiam, Friedhelm Schwenker)....Pages 83-113 Learning Label Dependency and Label Preference Relations in Graded Multi-label Classification (Khalil Laghmari, Christophe Marsala, Mohammed Ramdani)....Pages 115-164 Improving Sparse Representation-Based Classification Using Local Principal Component Analysis (Chelsea Weaver, Naoki Saito)....Pages 165-206 Robust Constrained Concept Factorization (Wei Yan, Bob Zhang)....Pages 207-225 An Automatic Cycling Performance Measurement System Based on ANFIS (Andre Vieira Pigatto, Alexandre Balbinot)....Pages 227-252 Fuzzy Classifiers Learned Through SVMs with Application to Specific Object Detection and Shape Extraction Using an RGB-D Camera (Chia-Feng Juang, Guo-Cyuan Chen)....Pages 253-274 Particle Swarm Optimization Based HMM Parameter Estimation for Spectrum Sensing in Cognitive Radio System (Yogesh Vineetha, E. S. Gopi, Shaik Mahammad)....Pages 275-290 Computational Intelligence for Pattern Recognition in EEG Signals (Aunnoy K Mutasim, Rayhan Sardar Tipu, M. Raihanul Bashar, Md. Kafiul Islam, M. Ashraful Amin)....Pages 291-320 Neural Network Based Physical Disorder Recognition for Elderly Health Care (Sriparna Saha, Raktim Das)....Pages 321-339 Recognizing Subtle Micro-facial Expressions Using Fuzzy Histogram of Optical Flow Orientations and Feature Selection Methods (S. L. Happy, Aurobinda Routray)....Pages 341-368 Improved Deep Neural Network Object Tracking System for Applications in Home Robotics (Berat A. Erol, Abhijit Majumdar, Jonathan Lwowski, Patrick Benavidez, Paul Rad, Mo Jamshidi)....Pages 369-395 Low Cost Parkinson’s Disease Early Detection and Classification Based on Voice and Electromyography Signal (Farika T. Putri, Mochammad Ariyanto, Wahyu Caesarendra, Rifky Ismail, Kharisma Agung Pambudi, Elta Diah Pasmanasari)....Pages 397-426 Back Matter ....Pages 427-428