松川 徹

Computer Science

1. Classes 100%
2. Deep Neural Network 77%
3. Person Re-Identification 72%
4. Simulation Mode 70%
5. Descriptors 58%
6. Posterior Probability 57%
7. Facial Expression 49%
8. Anomaly Detection 45%
9. Image Classification 44%
10. Experimental Result 43%
11. Mobile Robot 40%
12. Detection Method 37%
13. Support Vector Machine 37%
14. Detection 37%
15. Learning Method 33%
16. Correlation 32%
17. Vectors 32%
18. Robot 31%
19. Standards 29%
20. Generative Adversarial Networks 29%
21. Accuracy 28%
22. Classification 26%
23. Image Sequence 24%
24. Research Worker 23%
25. Ensemble Learning 23%
26. Normalization 22%
27. Training Sample 22%
28. Classification (Machine Learning) 20%
29. Feature Extraction 20%
30. Large Scale Data 18%
31. Video Sequences 18%
32. Learning Curve 18%
33. User 18%
34. Behavior Data 18%
35. Conventional Method 18%
36. Real World 18%
37. Segmentation 18%
38. Hilbert Space 18%
39. Events 18%
40. Level Semantics 18%
41. Local Histogram 18%
42. Tracking Object 18%
43. Skin 18%
44. Application 16%
45. Human Activity 15%
46. Design 15%
47. Probability 14%
48. Dataset Source 14%
49. High Probability 14%
50. Action Recognition 14%