李 长升

Computer Science

1. Experimental Result 100%
2. Active Learning 66%
3. Representation Learning 35%
4. Learning Framework 35%
5. Annotation 35%
6. Feature Selection 33%
7. Representative Sample 30%
8. Action Recognition 28%
9. Distance Metric 28%
10. Image Classification 26%
11. Feature Extraction 23%
12. Deep Neural Network 23%
13. Machine Learning 23%
14. Supervised Information 21%
15. Multitask Learning 21%
16. image feature 20%
17. Computer Vision 19%
18. Visual Content 19%
19. Network Architecture 19%
20. Knowledge Transfer 19%
21. Video Representation 19%
22. Feature Fusion 19%
23. Temporal Action Localization 19%
24. Discriminative Feature 19%
25. Graph Neural Network 19%
26. Deep Learning 17%
27. Superior Performance 15%
28. Gaussian Mixture Model 14%
29. Machine Learning Technique 14%
30. Self-Attention Mechanism 14%
31. Regression Coefficient 14%
32. Euclidean Distance 14%
33. Sparse Representation 14%
34. Classification Task 12%
35. Regularization 12%
36. Covariance Matrix 11%
37. Optimization Problem 11%
38. Source Codes 11%
39. Research Direction 10%
40. Regularization Term 10%
41. Air Pollution 9%
42. Degraded Image 9%
43. Malware Detection 9%
44. super resolution 9%
45. Functional State 9%
46. Multiple Measure 9%
47. Parsing 9%
48. Internal Feature 9%
49. Reverse Engineering 9%
50. Training Image 9%