Muhammad Umair Mukati

Computer Science

1. Synthesis 100%
2. Networks 42%
3. Distributed Source Coding 38%
4. Complexity 38%
5. Contexts 38%
6. Attention (Machine Learning) 34%
7. Side Information 26%
8. Computational Complexity 26%
9. Compression Scheme 23%
10. Visual Experience 19%
11. Real World 19%
12. Spatial Dimension 19%
13. Feature Extraction 19%
14. Channels 19%
15. Lossless Compression 16%
16. Design 16%
17. Probability 15%
18. Gain Compression 15%
19. Process Synthesis 15%
20. Residual Signal 15%
21. Deep Learning 15%
22. Application 12%
23. Energy Function 11%
24. Compression Ratio 11%
25. Transmission Overhead 11%
26. Computation 11%
27. Deep Neural Network 11%
28. Communication 11%
29. Standards 11%
30. High Dimensionality 11%
31. Realism 11%
32. Storage Overhead 11%
33. Convolutional Neural Network 11%
34. Experimental Result 11%
35. Lossless Image Compression 7%
36. Image Coding 7%
37. Motivation 7%
38. Compression System 7%
39. Transmission Channel 7%
40. Data Redundancy 7%
41. Image Representation 7%
42. Rendering 7%
43. Representation 7%
44. Channel Bandwidth 7%
45. Storage Device 7%
46. Arithmetic Coding 7%
47. Entropy 7%
48. Probability Estimation 7%
49. Relevant Standard 7%
50. User 7%