林 維昭

Computer Science

1. Instance Selection 100%
2. Classes 80%
3. Classifier 76%
4. Feature Selection 63%
5. Algorithms 61%
6. Data Mining 56%
7. Models 56%
8. User 43%
9. Image Retrieval 39%
10. Experimental Result 38%
11. Image Classification 37%
12. Image Annotation 34%
13. Data Preprocessing 33%
14. Prediction Model 33%
15. Support Vector Machine 30%
16. Machine Learning 29%
17. Content-based image retrieval 29%
18. Relevance Feedback 25%
19. Learning Technique 25%
20. Keywords 25%
21. semantic gap 23%
22. Classification Accuracy 22%
23. image feature 22%
24. Accuracy 22%
25. Research Impact 21%
26. Outlier 20%
27. Majority Class 19%
28. Computational Cost 17%
29. Preprocessing Step 17%
30. Classification Performance 17%
31. Descriptors 16%
32. Annotation 15%
33. Genetic Algorithm 15%
34. Application 15%
35. Image Search 14%
36. Dimensionality Reduction 14%
37. Model Retrieval 14%
38. Information Gain 14%
39. World Wide Web Search 14%
40. Combination Method 14%
41. Ensemble Learning 14%
42. Computer Technology 14%
43. Image Content 14%
44. Support Vector Machine 14%
45. Domains 14%
46. Machine Learning Technique 13%
47. Minority Class 13%
48. Learning Algorithm 13%
49. Supervised Learning 13%
50. Design 12%