Nathan Intrator

Keyphrases

1. Feature Extraction 100%
2. Neural Network 81%
3. Biosonar 75%
4. Signal-to-noise Ratio 75%
5. Functional Magnetic Resonance Imaging 73%
6. Sonar 70%
7. Heart Sound 62%
8. Amygdala 56%
9. Neurofeedback 51%
10. Acoustic Camera 50%
11. Electroencephalography 47%
12. Visual Structure 45%
13. Hybrid Network 45%
14. Unsupervised Learning 45%
15. Learning Rule 43%
16. Camera Image 42%
17. Hidden Unit 40%
18. Face Recognition 40%
19. Brain State 39%
20. Receptive Field 38%
21. Unsupervised Neural Network 36%
22. Classification Problem 35%
23. Brain Activity 34%
24. Echo Delay 33%
25. Image Mosaicking 33%
26. Perceptron 32%
27. Feature Extraction Methods 30%
28. Diffusion Magnetic Resonance Imaging (dMRI) 30%
29. Input Space 30%
30. Wideband 30%
31. Time of Flight Estimation 30%
32. Kinect 30%
33. Neural Network Ensemble 30%
34. Seismic Waveform 30%
35. Signature-based 30%
36. Ensemble Averaging 30%
37. Natural Scenes 30%
38. Ping 30%
39. Electrical Fingerprint 28%
40. Biologically-motivated 28%
41. High-frequency Noise 27%
42. Laparoscopic Surgery 27%
43. Time of Arrival Estimation 26%
44. Gene Expression 26%
45. BCM Rule 26%
46. Heart Sound Signal 26%
47. Machine Learning 25%
48. Threshold Effect 25%
49. Image Registration 25%
50. Video Sequences 25%