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1. Class GP: Gaussian Process Modeling for Heterogeneous Functions

15. Topology Reconfiguration Using Neural Networks

16. Fault Classification Using Machine Learning

17. Shading Prediction for Power Optimization

18. Solar Array Research Testbed

19. Introduction

20. Summary

22. Toward Compressive Vision

23. Compressed Sensing Fundamentals

25. Introduction

29. Introduction

30. Sequential Localization

32. Introduction to Localization

33. Introduction

34. Summary

36. Introduction

38. Conclusion

41. The Kalman Filter

43. Sparse Models in Recognition

44. Compressed Sensing

45. Sparse Representations

46. Introduction

47. Conclusions

48. Decoder

50. MDCT

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