Hiroshi Shimodaira

Computer Science

1. Models 100%
2. Motion Synthesis 90%
3. Reinforcement Learning 81%
4. Animation 57%
5. Hidden Markov Models 51%
6. Speech Waveform 47%
7. Long Short-Term Memory Network 43%
8. Correlation 32%
9. Neural Network 32%
10. Autoencoder 32%
11. Evaluation 32%
12. Computer 28%
13. Spoken Dialogue 27%
14. Computer Dialog 27%
15. Speech Recognition 27%
16. Deep Neural Network 26%
17. Simulation 25%
18. Optimization 25%
19. Spoken Dialog System 25%
20. Language Modeling 25%
21. Networks 25%
22. Motion Capture 25%
23. Links 21%
24. Personalities 21%
25. Training Data 21%
26. High Correlation 21%
27. Handwriting Recognition 21%
28. Conversational Agent 21%
29. Abstract Machine 21%
30. Expressive Speech 21%
31. Motion Analysis 21%
32. Generation 21%
33. Regression 21%
34. Accuracy 21%
35. Synthesis 16%
36. User 16%
37. Search Space 16%
38. Input/Output 14%
39. Spectral Feature 14%
40. Algorithms 14%
41. Experimental Result 13%
42. Recurrent Neural Network 11%
43. Learning Framework 10%
44. Context Information 10%
45. Motion Estimation 10%
46. Parametrization 10%
47. Statistics 10%
48. Temporal Information 10%
49. Baseline Model 10%
50. Clustering Technique 10%