Sergio Escalera Guerrero

Computer Science

1. Models 100%
2. Classes 84%
3. Classifier 68%
4. Design 63%
5. Detection 56%
6. Classification 50%
7. Segmentation 48%
8. Application 42%
9. User 41%
10. Gesture Recognition 35%
11. Contexts 30%
12. Descriptors 30%
13. Computer Vision 30%
14. Personalities 26%
15. Deep Learning 24%
16. Accuracy 21%
17. Machine Learning 20%
18. Domains 19%
19. Representation 19%
20. Multiclass Classification 19%
21. Survey 18%
22. Algorithms 18%
23. Action Recognition 17%
24. Benchmark 17%
25. Graph Cut 16%
26. Pose Estimation 16%
27. Convolutional Neural Network 15%
28. Annotation 15%
29. Performance Improvement 14%
30. Experimental Result 14%
31. Standards 13%
32. Face Recognition 13%
33. Recognition System 13%
34. Base Classifier 13%
35. Procedures 12%
36. Networks 12%
37. Classification Problem 12%
38. Facial Expression 12%
39. Sequential Learning 12%
40. Object Recognition 11%
41. Video Sequences 11%
42. Evaluation 11%
43. Modeling 10%
44. Multiclass Problem 10%
45. Optimization 9%
46. Robot 9%
47. Invariants 9%
48. Biometrics 9%
49. Convolutional Neural Network 9%
50. Emotion Recognition 9%