Ke Chen

Computer Science

1. Speaker Identification 100%
2. Supervised Learning 48%
3. Neural Network 48%
4. time-delay 44%
5. Learning Algorithm 42%
6. Machine Learning 29%
7. Unsupervised Learning 29%
8. Experimental Result 27%
9. Game Development 26%
10. Clustered Data 26%
11. videogame 26%
12. Speaker Recognition 22%
13. Artificial Intelligence 22%
14. Temporal Data 21%
15. speech corpus 20%
16. multiple classifier 20%
17. Neural Network Architecture 17%
18. Input/Output 17%
19. Learning Network 17%
20. Image Segmentation 17%
21. Content Quality 17%
22. Reinforcement Learning 17%
23. Parameter Estimation 17%
24. Deep Learning 17%
25. human action recognition 17%
26. Cognitive Architecture 17%
27. Pattern Recognition 15%
28. Real-World Problem 13%
29. Case Study 13%
30. Statistical Model 13%
31. Spatial Representation 13%
32. Clustering Task 12%
33. Regularization 12%
34. Pattern Classification 11%
35. Human Performance 11%
36. Good Performance 11%
37. World Application 11%
38. Semantic Priming 10%
39. Machine Perception 10%
40. Ensemble Approach 10%
41. Enabling Technique 10%
42. Action Recognition 8%
43. Active Learning 8%
44. Contextualized Learning 8%
45. Semisupervised Learning 8%
46. User Behavior 8%
47. Spatial Information 8%
48. Simulation Mode 8%
49. Linear Combination 8%
50. Linear Discriminant 8%