
- 536 pages
- English
- PDF
- Available on iOS & Android
About this book
Pattern recognition is a very wide research field. It involves factors as diverse as sensors, feature extraction, pattern classification, decision fusion, applications and others. The signals processed are commonly one, two or three dimensional, the processing is done in real- time or takes hours and days, some systems look for one narrow object class, others search huge databases for entries with at least a small amount of similarity. No single person can claim expertise across the whole field, which develops rapidly, updates its paradigms and comprehends several philosophical approaches.This book reflects this diversity by presenting a selection of recent developments within the area of pattern recognition and related fields. It covers theoretical advances in classification and feature extraction as well as application-oriented works. Authors of these 25 works present and advocate recent achievements of their research related to the field of pattern recognition.
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Table of contents
- Pattern Recognition Recent Advances
- Preface
- Contents
- 1. Learning multiclass rules with class-selective rejection and performance constraints
- 2. Class-Selective Rejection Rules basedon the Aggregation of Pattern Soft Labels
- 3. A Model-Based Approach for Building Optimum Classification Cascades
- 4. Efficient Feature Subset Selection and Subset Size Optimization
- 5. Non-Linear Feature Extraction by Linear Principal Component Analysis Using Local Kernel
- 6. Low-Level Image Features for Real-Time Object Detection
- 7. p-SIFT: A Photometric and Scale Invariant Feature Transform
- 8. Wavelet-based Moving Object Segmentation
- 9. Pattern Recognition Basedon Straight Line Segments
- 10. From Conformal Geometric Algebra to Spherical Harmonics for a Correlation with Lines
- 11. Block-Diagonal Forms of Distance Matrices for Partition Based Image Retrieval
- 12. Tile-based Image Visual Codewords Extractionfor Efficient Indexing and Retrieval
- 13. Illumination Invariants Basedon Markov Random Fields
- 14. Study of the effect of lighting technologyin texture classification systems
- 15. Generic scale-space architecture forhandwriting documents analysis
- 16. Bi-2DPCA: A Fast Face Coding Method forRecognition
- 17. A New Multimodal Biometric for PersonalIdentification
- 18. Head Pose Estimation Using a Texture Modelbased on Gabor Wavelets
- 19. Embedded Intelligence on Chip: Some FPGA baseddesign experiences
- 20. Hessian Matrix-Based Shape Extraction and Volume Growing for 3D Polyp Segmentation inCT Colonography
- 21. 3D Reconstruction of Brain Tumors from Endoscopic and Ultrasound Images
- 22. Automatic Recognition of Emotional StatesFrom Human Speeches
- 23. Intelligence Computing Approaches for Epileptic Seizure Detection Based onIntracranial Electroencephalogram (IEEG)
- 24. Pattern Recognition Using Time Statistic Classification
- 25. Pattern Recognition based Fault Diagnosis inIndustrial Processes: Review and Application
- 26. Every Color Chromakey