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Cognitive dynamic logic algorithms for situational awareness
Cognitive dynamic logic algorithms for situational awareness
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Cognitive dynamic logic algorithms for situational awareness

PERLOVSKY, L. I ; ILIN, R

Proceedings of SPIE, the International Society for Optical Engineering, 2010, Vol.7704

Bellingham, Wash: SPIE

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Dynamic logic of phenomena and cognition
Dynamic logic of phenomena and cognition
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Dynamic logic of phenomena and cognition

Kovalerchuk, B. ; Perlovsky, L.

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008, Vol.10, p.3530-3537

IEEE

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3
Detection of propagating phase gradients in EEG signals using Model Field Theory of non-Gaussian mixtures
Detection of propagating phase gradients in EEG signals using Model Field Theory of non-Gaussian mixtures
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Detection of propagating phase gradients in EEG signals using Model Field Theory of non-Gaussian mixtures

Kozma, R. ; Perlovsky, L. ; Ankishetty, J.S.

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008, Vol.10, p.3524-3529

IEEE

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4
Object perception in the neural modeling fields framework
Object perception in the neural modeling fields framework
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Object perception in the neural modeling fields framework

Fontanari, J.F. ; Perlovsky, L.I.

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008, Vol.10, p.1774-1779

IEEE

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5
Integration of geometric and topological uncertainties for geospatial Data Fusion and Mining
Integration of geometric and topological uncertainties for geospatial Data Fusion and Mining
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Integration of geometric and topological uncertainties for geospatial Data Fusion and Mining

Kovalerchuk, B. ; Perlovsky, L.

2011 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2011, p.1-8

IEEE

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6
Biologically Inspired Methods for Array Signal Processing
Biologically Inspired Methods for Array Signal Processing
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Biologically Inspired Methods for Array Signal Processing

Perlovsky, L.

Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006, 2006, p.0/1-0/37

IEEE

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7
Detecting multiple slow-moving targets in SAR images
Detecting multiple slow-moving targets in SAR images
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Detecting multiple slow-moving targets in SAR images

Linnehan, R. ; Perlovsky, L. ; Mutz, I.C. ; Rangaswamy, M. ; Schindler, J.

Processing Workshop Proceedings, 2004 Sensor Array and Multichannel Signal, 2004, p.643-647

IEEE

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Using Cramer-Rao theory for SAR waveform design
Using Cramer-Rao theory for SAR waveform design
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Using Cramer-Rao theory for SAR waveform design

Linnehan, R. ; Brady, D. ; Schindler, J. ; Perlovsky, L. ; Rangaswamy, M.

IEEE International Radar Conference, 2005, 2005, p.217-221

IEEE

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9
Detecting slow moving targets in SAR images
Detecting slow moving targets in SAR images
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Detecting slow moving targets in SAR images

Linnehan, Robert ; Perlovsky, Leonid ; Mutz, Chris W ; Schindler, John

Proceedings of SPIE, 2004, Vol.5410, p.64-73

Bellingham WA: SPIE

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10
A network model of rational versus irrational choices on a probability maximization task
A network model of rational versus irrational choices on a probability maximization task
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A network model of rational versus irrational choices on a probability maximization task

Levine, D.S. ; Perlovsky, L.I.

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008, Vol.10, p.2820-2824

IEEE

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