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Underwater target classification using wavelet packets and neural networks
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Comparison of different classification paradigms for underwater target discrimination
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Underwater target classification in changing environments using an adaptive feature mapping
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A biologically inspired adaptive underwater target classification using a multi-aspect decision feedback unit
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M. Azimi-Sadjadi, D. Yao, D. Li, A. Jamshidi, and G. Dobeck, "A biologically inspired adaptive underwater target classification using a multi-aspect decision feedback unit," Proceedings of MTS/IEEE Oceans 2002, vol. 1, pp. 38-45, Oct 2002.
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Underwater target classification using canonical correlations
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A. Pezeshki, M. Azimi-Sadjadi, L. Scharf, and M. Robinson, "Underwater target classification using canonical correlations," Proceedings of MTS/IEEE Oceans 2003, vol. 4, pp. 1906-1911, Sept 2003.
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Multi-aspect target discrimination using hidden markov models and neural networks
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M. Robinson and M. Azimi-Sadjadi, "Multi-aspect target discrimination using hidden markov models and neural networks," IEEE Transactions on Neural Networks, vol. 16, pp. 447-459, March 2005.
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Multi-aspect pattern classification using predictive networks and error mapping
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J. Salazar, M. Robinson, and M. Azimi-Sadjadi, "Multi-aspect pattern classification using predictive networks and error mapping," Proceedings of the 2002 IEEE International Joint Conference on Neural Networks, vol. 2, pp. 1842-1847, May 2002.
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Kernel canonical correlation analysis for multi-class feature extraction with application,
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Master's thesis, Colorado State University, Fort Collins, CO, USA, April
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Multi-aspect discrimination of underwater mine-like objects using hidden markov models
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Oct
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J. Salazar, M. Robinson, and M. Azimi-Sadjadi, "Multi-aspect discrimination of underwater mine-like objects using hidden markov models," Proceedings of MTS/IEEE Oceans 2002, vol. 1, pp. 46-53, Oct 2002.
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Multi-aspect acoustic classification of buried objects
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M. Robinson, M. Azimi-Sadjadi, D. Sternlicht, and D. Lemonds, "Multi-aspect acoustic classification of buried objects," Proceedings of MTS/IEEE Oceans 2003, pp. 478-484, Sept 2003.
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11
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A new sequential decision feedback method with application to target classification
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M. Azimi-Sadjadi, A. Jamshidi, and G. Dobeck, "A new sequential decision feedback method with application to target classification," Proceedings of the 2002 IEEE International Joint Conference on Neural Networks, vol. 1, pp. 697-702, May 2002.
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S. Schock, A. Tellier, J. Wulf, J. Sara, and M. Ericksen, "Buried object scanning sonar," IEEE Journal of Oceanic Engineering, vol. 26, pp. 677-689, Oct 2001.
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Detection and classification of buried objects with an adaptive acoustic mine-hunting system
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Canonical coordinates and the geometry of inference, rate, and capacity
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L. Scharf and C. Mullis, "Canonical coordinates and the geometry of inference, rate, and capacity," IEEE Transactions on Signal Processing, vol. 48, pp. 824-891, March 2000.
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