بازشناسی الگو و داده‌های بزرگ ۲۰۱۶
Pattern Recognition And Big Data 2016

1. Cover Page

2. Title

3. Copyright

4. Contents

5. Preface

1. Pattern Recognition: Evolution, Mining and Big Data

2. Pattern Classification with Gaussian Processes

3. Active Multitask Learning using Supervised and Shared Latent Topics

4. Sparse and Low-Rank Models for Visual Domain Adaptation

5. Pattern Classification using the Principle of Parsimony: Two Examples

6. Robust Learning of Classifiers in the Presence of Label Noise

7. Sparse Representation for Time-Series Classification

8. Fuzzy Sets as a Logic Canvas for Pattern Recognition

9. Optimizing Neural Network Structures to Match Pattern Recognition Task Complexity

10. Multi-Criterion Optimization and Decision Making Using Evolutionary Computing

11. Rough Sets in Pattern Recognition

12. The Twin SVM Minimizes the Total Risk

13. Dynamic Kernels based Approaches to Analysis of Varying Length Patterns in Speech and Image Processing Tasks

14. Fuzzy Rough Granular Neural Networks for Pattern Analysis

15. Fundamentals of Rough-Fuzzy Clustering and Its Application in Bioinformatics

16. Keygraphs: Structured Features for Object Detection and Applications

17. Mining Multimodal Data

18. Solving Classification Problems on Human Epithelial Type Cells for Anti-Nuclear Antibodies Test: Traditional versus Contemporary Approaches

19. Representation Learning for Spoken Term Detection

20. Tongue Pattern Recognition to Detect Diabetes Mellitus and Non-Proliferative Diabetic Retinopathy

21. Moving Object Detection using Multi-layer Markov Random Field Model

22. Recent Advances in Remote Sensing Time Series Image Classification

23. Sensor Selection for E-Nose

24. Understanding the Usage of Idioms in Twitter Social Network

25. Sampling Theorems for Twitter: Ideas from Large Deviation Theory

26. A Machine-mind Architecture and Z-numbers for Real-world Comprehension

32. Author Index

33. Subject Index

34. About the Editors