Pattern Recognition
eBook - PDF

Pattern Recognition

Recent Advances

  1. 536 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Pattern Recognition

Recent Advances

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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Yes, you can access Pattern Recognition by Adam Herout in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Pattern Recognition Recent Advances
  2. Preface
  3. Contents
  4. 1. Learning multiclass rules with class-selective rejection and performance constraints
  5. 2. Class-Selective Rejection Rules basedon the Aggregation of Pattern Soft Labels
  6. 3. A Model-Based Approach for Building Optimum Classification Cascades
  7. 4. Efficient Feature Subset Selection and Subset Size Optimization
  8. 5. Non-Linear Feature Extraction by Linear Principal Component Analysis Using Local Kernel
  9. 6. Low-Level Image Features for Real-Time Object Detection
  10. 7. p-SIFT: A Photometric and Scale Invariant Feature Transform
  11. 8. Wavelet-based Moving Object Segmentation
  12. 9. Pattern Recognition Basedon Straight Line Segments
  13. 10. From Conformal Geometric Algebra to Spherical Harmonics for a Correlation with Lines
  14. 11. Block-Diagonal Forms of Distance Matrices for Partition Based Image Retrieval
  15. 12. Tile-based Image Visual Codewords Extractionfor Efficient Indexing and Retrieval
  16. 13. Illumination Invariants Basedon Markov Random Fields
  17. 14. Study of the effect of lighting technologyin texture classification systems
  18. 15. Generic scale-space architecture forhandwriting documents analysis
  19. 16. Bi-2DPCA: A Fast Face Coding Method forRecognition
  20. 17. A New Multimodal Biometric for PersonalIdentification
  21. 18. Head Pose Estimation Using a Texture Modelbased on Gabor Wavelets
  22. 19. Embedded Intelligence on Chip: Some FPGA baseddesign experiences
  23. 20. Hessian Matrix-Based Shape Extraction and Volume Growing for 3D Polyp Segmentation inCT Colonography
  24. 21. 3D Reconstruction of Brain Tumors from Endoscopic and Ultrasound Images
  25. 22. Automatic Recognition of Emotional StatesFrom Human Speeches
  26. 23. Intelligence Computing Approaches for Epileptic Seizure Detection Based onIntracranial Electroencephalogram (IEEG)
  27. 24. Pattern Recognition Using Time Statistic Classification
  28. 25. Pattern Recognition based Fault Diagnosis inIndustrial Processes: Review and Application
  29. 26. Every Color Chromakey