Hiroshi Shimodaira

Computer Science

1. Models 100%
2. Motion Synthesis 74%
3. Reinforcement Learning 66%
4. Hidden Markov Models 42%
5. Speech Waveform 39%
6. Animation 35%
7. Correlation 26%
8. Neural Network 26%
9. Autoencoder 26%
10. Evaluation 26%
11. Computer 23%
12. Spoken Dialogue 22%
13. Computer Dialog 22%
14. Speech Recognition 22%
15. Deep Neural Network 21%
16. Simulation 20%
17. Optimization 20%
18. Spoken Dialog System 20%
19. Language Modeling 20%
20. Networks 20%
21. Motion Capture 20%
22. Links 17%
23. Personalities 17%
24. Training Data 17%
25. Long Short-Term Memory Network 17%
26. High Correlation 17%
27. Handwriting Recognition 17%
28. Conversational Agent 17%
29. Abstract Machine 17%
30. Expressive Speech 17%
31. Motion Analysis 17%
32. Generation 17%
33. Regression 17%
34. Accuracy 17%
35. Synthesis 13%
36. User 13%
37. Search Space 13%
38. Input/Output 11%
39. Spectral Feature 11%
40. Algorithms 11%
41. Experimental Result 11%
42. Learning Framework 8%
43. Context Information 8%
44. Motion Estimation 8%
45. Parametrization 8%
46. Statistics 8%
47. Temporal Information 8%
48. Baseline Model 8%
49. Clustering Technique 8%
50. System Mapping 8%