J. A. Sheikh, Y. Sun, and P. M. Walker Department of Physics, University of Surrey, Surrey, Guildford, GU2 5XH, England Tata Institute of Fundamental Research, Colaba, Bombay, 400 005, India Joint Institute for Heavy Ion Research, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831 Department of Physics and Astronomy, University of Tennessee, Knoxville, Tennessee 37996 Physics Division, O...

[1] Global observations of mid-ocean ridge (MOR) bathymetry demonstrate an asymmetry in axial depth across ridge offsets that is correlated with the direction of ridge migration. Motivated by these observations, we have developed two-dimensional numerical models of asthenospheric flow and melting beneath a migrating MOR. The modification of the flow pattern produced by ridge migration leads to ...

Cross-spectral techniques are used to analyze the relationship between gravity and bathymetry at the Mid-Atlantic Ridge and the East Pacific Rise crests. The resulting transfer functions were used to study the nature of the isostatic mechanism operative at these ridge crests. The most satisfactory results were obtained for models in which the oceanic lithosphere is treated as a thin elastic pla...

Schaefer et al. [15] proposed a ridge logistic estimator in logistic regression model. In this paper a new estimator based on the ridge logistic estimator is introduced in logistic regression model and we call it as almost unbiased ridge logistic estimator. The performance of the new estimator over the ridge logistic estimator and the maximum likelihood estimator in scalar mean squared error cr...

Juan Salafranca,1,2 Gonzalo Alvarez,3 and Elbio Dagotto1,2 1Department of Physics and Astronomy, University of Tennessee, Knoxville, Tennessee 37996, USA 2Materials Science and Technology Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 32831, USA 3Computer Science and Mathematics Division and Center for Nanophase Materials Science, Oak Ridge National Laboratory, Oak Ridge, Tenness...

The ridge logistic regression has successfully been used in text categorization problems and it has been shown to reach the same performance as the Support Vector Machine but with the main advantage of computing a probability value rather than a score. However, the dense solution of the ridge makes its use unpractical for large scale categorization. On the other side, LASSO regularization is ab...

The average ridge distance of fingerprint images is a very important parameter for fingerprint image enhancement, which will greatly affect the performance of fingerprint recognition. A method of efficient ridge distance estimation based on typical image blocks is proposed. First, we obtain some typical candidate image blocks through the initial selection according to the orientation curvature ...

Ridge orientation is one of the fundamental features of a fingerprint image. Orientation estimation serves for feature extraction and matching and is the base of fingerprint recognition. Most existing orientation estimation methods are based on the characteristic of pixel intensity in a block. This paper uses neural network to learn the ridge orientation. The trained network has the property of...

A ridge version of an ill–conditioned system is long held to “act more like an orthogonal system” than the system itself. Surrogate models exist also having smaller expected mean square than OLS, and surrogate solutions are seen to have uniformly smaller residual sums of squares than ridge. Ridge and surrogate solutions are compared on several hallmarks of orthogonality, to include conditioning...

In the present study, we consider the selection of model selection criteria for multivariate ridge regression. There are several model selection criteria for selecting the ridge parameter in multivariate ridge regression, e.g., the Cp criterion and the modified Cp (MCp) criterion. We propose the generalized Cp (GCp) criterion, which includes Cp andMCp criteria as special cases. The GCp criterio...