Search Results - "Ruck, D W"

Computer-aided breast cancer detection and diagnosis of masses using difference of Gaussians and derivative-based feature saliency by Polakowski, W.E., Cournoyer, D.A., Rogers, S.K., DeSimio, M.P., Ruck, D.W., Hoffmeister, J.W., Raines, R.A.

“…A new model-based vision (MBV) algorithm is developed to find regions of interest (ROI's) corresponding to masses in digitized mammograms and to classify the…”
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Comparative analysis of backpropagation and the extended Kalman filter for training multilayer perceptrons by Ruck, D.W., Rogers, S.K., Kabrisky, M., Maybeck, P.S., Oxley, M.E.

“…The relationship between backpropagation and extended Kalman filtering for training multilayer perceptrons is examined. These two techniques are compared…”
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Selecting optimal experiments for multiple output multilayer perceptrons by Belue, L M, Bauer, Jr, K W, Ruck, D W

“…Where should a researcher conduct experiments to provide training data for a multilayer perceptron? This question is investigated, and a statistical method for…”
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Neural networks for automatic target recognition by Rogers, Steven K., Colombi, John M., Martin, Curtis E., Gainey, James C., Fielding, Ken H., Burns, Tom J., Ruck, Dennis W., Kabrisky, Matthew, Oxley, Mark

“…Many applications reported in artificial neural networks are associated with military problems. This paper reviews concepts associated with the processing of…”
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Spatio-temporal pattern recognition using hidden Markov models by Fielding, K.H., Ruck, D.W.

“…A spatio-temporal method for identifying objects contained in an image sequence is presented. The Hidden Markov Model (HMM) technique is used as the…”
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Artificial neural networks for early detection and diagnosis of cancer by Rogers, S K, Ruck, D W, Kabrisky, M

“…Why use neural networks? The reasons commonly cited in the literature for using artificial neural networks for any problem are many and varied. They learn from…”
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Recognition of moving light displays using hidden Markov models by Fielding, Kenneth H., Ruck, Dennis W.

“…A spatio-temporal method of identifying moving light displays (M LDs) is presented. The hidden Markov model (HMM) technique is used as the classification…”
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A wavelet multiresolution analysis for spatio-temporal signals by Burns, T.J., Rogers, S.K., Oxley, M.E., Ruck, D.W.

“…The wavelet filters of the conventional 3D multiresolution analysis possess homogeneous spatial and temporal frequency characteristics which limits one's…”
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Cohort selection and word grammar effects for speaker recognition by Colombi, J.M., Ruck, D.W., Anderson, T.R., Rogers, S.K., Oxley, M.

“…Automatic speaker recognition systems are maturing and databases have been designed to specifically compare algorithms and results to target error rates. The…”
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A facial feature communications interface for the non-vocal by Goble, J.R., Suarez, P.F., Rogers, S.K., Ruck, D.W., Arndt, C., Kabrisky, M.

“…A viable communications interface for the nonvocal handicapped that is a by-product of recent face recognition research is described. The system uses either…”
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The multilayer perceptron as an approximation to a Bayes optimal discriminant function by Ruck, D.W., Rogers, S.K., Kabrisky, M., Oxley, M.E., Suter, B.W.

“…The multilayer perceptron, when trained as a classifier using backpropagation, is shown to approximate the Bayes optimal discriminant function. The result is…”
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AFIT neural network research by Rogers, S.K., Ruck, D.W., Kabrisky, M., Tarr, G.L.

“…A brief summary of research done at the Air Force Institute of Technology (AFIT) in the area of neural networks is provided. It has been shown that…”
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Auditory model representation for speaker recognition by Colombi, J.M., Anderson, T.R., Rogers, S.K., Ruck, D.W., Warhola, G.T.

“…An examination of the KING database that compares proven spectral processing techniques with an auditory model representation for speaker recognition is…”
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Neural network Bayes error estimation by Martin, C.E., Rogers, S.K., Ruck, D.W.

“…A neural network approach to obtaining upper and lower bounds on the Bayes error rate for pattern recognition problems is presented. The approach is developed…”
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Auditory model representation and comparison for speaker recognition by Colombi, J.M., Anderson, T.R., Rogers, S.K., Ruck, D.W., Warhola, G.T.

“…The TIMIT and KING databases are used to compare proven spectral processing techinques to an auditory neural representation for speaker identification. The…”
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Synthetic aperture radar segmentation using wavelets and fractals by Rogers, Ruck, Tarr, Kabrisky, Brickey, Meer, L'Homme, Smiley, Hazlett, Willey

“…It is shown that fractal dimension estimates and Gabor wavelet coefficients are valid features of segmenting high-resolution polarimetric synthetic aperture…”
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