Nonparametric weighted feature extraction for classification von Bor-Chen Kuo, Landgrebe, D.A.

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Adaptive Bayesian contextual classification based on Markov random fields von Jackson, Q., Landgrebe, D.A.

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An adaptive classifier design for high-dimensional data analysis with a limited training data set von Jackson, Q., Landgrebe, D.A.

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Signal Theory Methods in Multispectral Remote Sensing von Landgrebe, David A

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Covariance estimation with limited training samples von Tadjudin, S., Landgrebe, D.A.

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The effect of unlabeled samples in reducing the small sample size problem and mitigating the Hughes phenomenon von Shahshahani, B.M., Landgrebe, D.A.

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Robust parameter estimation for mixture model von Tadjudin, S., Landgrebe, D.A.

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Covariance matrix estimation and classification with limited training data von Hoffbeck, J.P., Landgrebe, D.A.

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Toward an optimal supervised classifier for the analysis of hyperspectral data von Dundar, M.M., Landgrebe, D.A.

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A cost-effective semisupervised classifier approach with kernels von Dundar, M.M., Landgrebe, D.A.

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A covariance estimator for small sample size classification problems and its application to feature extraction von Bor-Chen Kuo, Landgrebe, D.A.

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An adaptive method for combined covariance estimation and classification von Jackson, Q., Landgrebe, D.A.

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A robust classification procedure based on mixture classifiers and nonparametric weighted feature extraction von Bor-Chen Kuo, Landgrebe, D.A.

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Feature extraction based on decision boundaries von Lee, C., Landgrebe, D.A.

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Partially supervised classification using weighted unsupervised clustering von Byeungwoo Jeon, Landgrebe, D.A.

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Rough bare soil reflectivity model von Wegmuller, U., Matzler, C.

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A process model for remote sensing data analysis von Madhok, V., Landgrebe, D.A.

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Analyzing high-dimensional multispectral data von Lee, C., Landgrebe, D.A.

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Multispectral land sensing: where from, where to? von Landgrebe, D.A.

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Classification with spatio-temporal interpixel class dependency contexts von Jeon, B., Landgrebe, D.A.

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