Set constraint discovery: Missing sensor data restoration using auto-associative regression machines

Proceedings of the International Joint Conference on Neural Networks

Volumn 3, Issue , 2002, Pages 2872-2877

  Narayanan, Sreeram ^a   Marks II, R J ^a   Vian, John L ^a   Choi, J J ^a   El Sharkawi, M A ^a   Thompson, Benjamin B ^a  

^a University of Washington   (United States)

Author keywords

Auto encoder; Autoassociative regression machine; Neural network; POCS; Sensor restoration

Indexed keywords

ALGORITHMS; ARRAYS; ASSOCIATIVE PROCESSING; CONSTRAINT THEORY; ITERATIVE METHODS; NEURAL NETWORKS; REGRESSION ANALYSIS; SET THEORY; STATE ESTIMATION;

AUTOASSOCIATIVE REGRESSION MACHINE; ITERATIVE SEARCH ALGORITHM; PROJECTION ONTO CONVEX SETS; SENSOR RESTORATION;

SENSOR DATA FUSION;

EID: 0036080008     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (38)

1. Classification with missing and uncertain inputs
2. Enhancing the robustness of a feedforward neural network in the presence of missing data
3. Auto-association by multi-layer perceptrons and singular value decomposition
4. Global convergence of Oja's Subspace algorithm for principal component extraction
5. Image sampling below the Nyquist density without aliasing
6. Missing data techniques for robust speech recognition
7. An introduction to support vector machines: And other kernel-based learning methods
8. Compensation for missing sensors in a real-time measurement beamformed systems
9. Signal synthesis in the presence of an inconsistent set of constraints
10. Methods for estimating autocorrelation and power spectral density when there are many missing data values
11. Missing data estimation by separable deblurring
12. Conformal radiotherapy computation by the method of alternating projection onto Convex Sets
13. Limitations of nonlinear PCA as performed with generic neural networks
14. Image reconstruction from noisy digital holograms
15. Alternating projections onto convex sets
16. Restoring lost samples from an oversampled bandlimited signal
17. Gerchberg's extrapolation algorithm in two dimensions
18. Error in linear estimation of lost samples in an oversampled bandlimited signal
19. Fuzzy logic technology and applications
20. Synthesizing missing data points with iterated function systems
21. Resolution enhancement of biomagnetic images using the method of alternating projections
22. Kernel synthesis for generalized time-frequency distributions using the method of alternating projections onto convex sets
23. A real-time recurrent learning network structure for dealing with missing sensor data
24. Some solution to the missing feature problem in data classification, with application to noise robust ASR
25. Subspace methods of pattern recognition
26. Principle component analysis with missing data and its application to polyhedral object modeling
27. Detection of faulty sensors in aero jet engine systems using robust model-based methods condition monitoring for fault diagnosis
28. Direct fourier reconstruction in fan-beam tomography
29. "Signal recovery with similarity constraints", Journal of the optical society of America A
30. Identification of continuous-time systems with missing data
31. Minimal projection reconstruction with missing data
32. Array processing of underwater acoustic sensors using weighted fourier integral method
33. Learning in neural networks using projection methods