Metwally Rashad Alseedy

Computer Science

1. Information Retrieval 100%
2. Object Recognition 82%
3. Deep Convolutional Neural Networks 46%
4. Topic Modeling 46%
5. Video Summarization 46%
6. Image Retrieval 46%
7. Join Algorithm 46%
8. Feature Extraction 39%
9. Deep Feature 39%
10. Support Vector Machine 39%
11. Probability 39%
12. Deep Learning Method 38%
13. Facial Expression 32%
14. Convolutional Neural Network 31%
15. Expression Recognition 28%
16. Visual Feature 28%
17. Residual Neural Network 23%
18. Cloud Computing 23%
19. Latent Dirichlet Allocation 23%
20. Recognition Rate 23%
21. Ensemble Approach 23%
22. Network Support 23%
23. Content-based image retrieval 23%
24. Interactivity 23%
25. Weak Classifier 23%
26. Computer Assisted Tomography 23%
27. Experimental Result 17%
28. Support Vector Machine 15%
29. Image Database 15%
30. Handheld Device 15%
31. Optimization Algorithm 13%
32. feature descriptor 11%
33. Computational Resource 11%
34. ensemble classifier 11%
35. retrieval accuracy 11%
36. n-gram language model 11%
37. Discriminative Feature 11%
38. Partitioning Method 11%
39. Distance Threshold 11%
40. Learning Approach 11%
41. Image Retrieval System 11%
42. Image Quality 11%
43. Recognition Process 11%
44. Tablet Computer 11%
45. Retrieval Algorithm 11%
46. Linear Classifier 11%
47. Deep Neural Network 11%
48. Gaussian White Noise 11%
49. Diagnostic System 11%
50. Feature Selection 11%