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Steven M. Kay
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Publications
- 2022
- [j86]Paul M. Baggenstoss, Steven Kay:
Nonlinear Dimension Reduction by PDF Estimation. IEEE Trans. Signal Process. 70: 1493-1505 (2022) - 2016
- [j79]Bo Tang, Steven Kay, Haibo He, Paul M. Baggenstoss:
EEF: Exponentially Embedded Families With Class-Specific Features for Classification. IEEE Signal Process. Lett. 23(7): 969-973 (2016) - [j78]Bo Tang, Haibo He, Paul M. Baggenstoss, Steven Kay:
A Bayesian Classification Approach Using Class-Specific Features for Text Categorization. IEEE Trans. Knowl. Data Eng. 28(6): 1602-1606 (2016) - [i3]Bo Tang, Steven Kay, Haibo He, Paul M. Baggenstoss:
EEF: Exponentially Embedded Families with Class-Specific Features for Classification. CoRR abs/1605.03631 (2016) - 2001
- [j34]Steven M. Kay, Albert H. Nuttall, Paul M. Baggenstoss:
Multidimensional probability density function approximations for detection, classification, and model order selection. IEEE Trans. Signal Process. 49(10): 2240-2252 (2001) - 1995
- [j24]Paul M. Baggenstoss, Steven M. Kay:
Detection of broadband planewaves in the presence of Gaussian noise of unknown covariance: asymptotically optimum tests using the 2-D autoregressive noise model. IEEE Trans. Signal Process. 43(4): 950-966 (1995) - 1992
- [j15]Paul M. Baggenstoss, Steven M. Kay:
An adaptive detector for deterministic signals in noise of unknown spectra using the Rao test. IEEE Trans. Signal Process. 40(6): 1460-1468 (1992) - 1991
- [j13]Paul M. Baggenstoss, Steven M. Kay:
On estimating the angle parameters of an exponential signal at high SNR. IEEE Trans. Signal Process. 39(5): 1203-1205 (1991)
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