Search Results - "Mather, P. M."

Support vector machines for classification in remote sensing by Pal, M., Mather, P. M.

“…Support vector machines (SVM) represent a promising development in machine learning research that is not widely used within the remote sensing community. This…”
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The use of backpropagating artificial neural networks in land cover classification by Kavzoglu, T., Mather, P. M.

“…Artificial neural networks (ANNs) are used for land cover classification using remotely sensed data. Training of a neural network requires that the user…”
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Some issues in the classification of DAIS hyperspectral data by Pal, Mahesh, Mather, P. M.

“…Classification accuracy depends on a number of factors, of which the nature of the training samples, the number of bands used, the number of classes to be…”
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Assessment of the effectiveness of support vector machines for hyperspectral data by Pal, Mahesh, Mather, P.M.

“…Support vector machines (SVMs) have recently been introduced into machine learning for pattern recognition. In this paper, a multi-class SVM is used for…”
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A spectral library for a semi-arid wetland and its application to studies of wetland degradation using hyperspectral and multispectral data by Schmid, T., Koch, M., Gumuzzio, J., Mather, P. M.

“…Semi-arid wetland areas in Central Spain are especially sensitive ecosystems and are considered to be one of the most important areas for the migration and…”
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An assessment of the effectiveness of decision tree methods for land cover classification by Pal, Mahesh, Mather, Paul M

“…Choice of a classification algorithm is generally based upon a number of factors, among which are availability of software, ease of use, and performance,…”
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Lineament mapping for groundwater resource assessment: A comparison of digital Synthetic Aperture Radar (SAR) imagery and stereoscopic Large Format Camera (LFC) photographs in the Red Sea Hills, Sudan by Koch, M., Mather, P. M.

“…The results of a comparative investigation of lineament mapping from stereoscopic Large Format Camera (LFC) photographs and from SIR-C L- and C-band Synthetic…”
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Crop discrimination using multi-temporal SAR imagery by Tso, B., Mather, P. M.

“…Seven ERS-1 SAR images obtained at different dates during the 1993 crop growing season are used in a study of the potential of multi-temporal SAR for…”
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Pruning artificial neural networks: An example using land cover classification of multi-sensor images by Kavzoglu, T., Mather, P. M.

“…The use of three techniques for pruning artificial neural networks (magnitude-based pruning, optimum brain damage and optimal brain surgeon) is investigated,…”
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The role of feature selection in artificial neural network applications by Kavzoglu, T., Mather, P. M.

“…Determination of the 'best' bands that are assigned to the input neurons of an artificial neural network (ANN) is one of the critical steps in designing the…”
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Classification of multisource remote sensing imagery using a genetic algorithm and Markov random fields by Tso, B.C.K., Mather, P.M.

“…The use of contextual information for modeling the prior probability mass function has found applications in the classification of remotely sensed data. With…”
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Convergence Technologies for 3G Networks: IP, UMTS, EGPRS and ATM by Bannister, Jeffrey, Mather, Paul, Coope, Sebastian

“…The merging of voice and data on a single network opens powerful new possibilities in communications. Only a fundamental understanding of both technologies…”
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An evaluation of Landsat TM spectral data and SAR-derived textural information for lithological discrimination in the Red Sea Hills, Sudan by Mather, Paul M., Tso, Brandt, Koch, Magaly

“…The effectiveness of spectral and textural information in the identification of surface rock types in an arid region, the Red Sea Hills of Sudan, is evaluated…”
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Factorial Ecology and Factor Invariance: An Investigation by Giggs, J. A., Mather, P. M.

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Multivariate Analysis in Geography with Particular Reference to Drainage-Basin Morphometry by Mather, P. M., Doornkamp, J. C.

“…Three multivariate techniques (factor analysis, cluster analysis and multiple discriminant analysis) are described in non-mathematical terms, together with…”
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Editorial: Remote sensing and landscape ecology: Landscape patterns and landscape change by Griffiths, G. H., Mather, P. M.

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Paediatric blood pressure and anaesthesia by Mather, C M

“…One percent of children have appreciably and consistently raised arterial blood pressure. A 7-year-old girl admitted for routine tonsillectomy, had…”
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Classification of multi source remote sensing imagery using a genetic algorithm and Markov random fields : Special Issue on Data Fusion by TSO, B. C. K, MATHER, P. M

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Inflammatory cutaneous reactions to epidural catheters by MATHER, C. M. P, READY, L. B, NEWMAN, M

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Military-to-civilian translation of battlefield innovations in operative trauma care by Haider, Adil H., MD, MPH, FACS, Piper, Lydia C., BA, Zogg, Cheryl K., MSPH, MHS, Schneider, Eric B., PhD, Orman, Jean A., ScD, Butler, Frank K., MD, Gerhardt, Robert T., MD, MPH, FACEP, Haut, Elliott R., MD, PhD, FACS, Mather, Jacques P., MD, MPH, FACS, MacKenzie, Ellen J., PhD, Schwartz, Diane A., MD, FACS, Geyer, David W., MD, DuBose, Joseph J., MD, FACS, Rasmussen, Todd E., MD, FACS, Blackbourne, Lorne H., MD, FACS

“…Background Historic improvements in operative trauma care have been driven by war. It is unknown whether recent battlefield innovations stemming from conflicts…”
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