Nathan Intrator

Keyphrases

1. Feature Extraction 100%
2. Biosonar 94%
3. Signal-to-noise Ratio 93%
4. Functional Magnetic Resonance Imaging 91%
5. Neural Network 89%
6. Sonar 88%
7. Heart Sound 78%
8. Amygdala 70%
9. Neurofeedback 63%
10. Acoustic Camera 62%
11. Electroencephalography 59%
12. Visual Structure 56%
13. Hybrid Network 56%
14. Learning Rule 54%
15. Camera Image 53%
16. Hidden Unit 50%
17. Unsupervised Learning 50%
18. Face Recognition 50%
19. Brain State 48%
20. Receptive Field 47%
21. Unsupervised Neural Network 45%
22. Classification Problem 43%
23. Brain Activity 42%
24. Echo Delay 41%
25. Image Mosaicking 41%
26. Perceptron 40%
27. Diffusion Magnetic Resonance Imaging (dMRI) 37%
28. Input Space 37%
29. Wideband 37%
30. Time of Flight Estimation 37%
31. Kinect 37%
32. Neural Network Ensemble 37%
33. Seismic Waveform 37%
34. Signature-based 37%
35. Ensemble Averaging 37%
36. Natural Scenes 37%
37. Ping 37%
38. Electrical Fingerprint 36%
39. High-frequency Noise 34%
40. Laparoscopic Surgery 33%
41. Time of Arrival Estimation 33%
42. Gene Expression 33%
43. BCM Rule 33%
44. Heart Sound Signal 32%
45. Machine Learning 32%
46. Threshold Effect 32%
47. Image Registration 32%
48. Video Sequences 31%
49. Classification Scheme 31%
50. Principal Coordinate Analysis (PCoA) 31%