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...

In this work, we investigate light concentration in nanoscale ridge apertures and its applications in nanomanufacturing. Optical transmission of ridge apertures in a metal film is optimized by numerical design using the finite-difference time-domain (FDTD) method. We show that ridge apertures provide an optical transmission enhancement of several orders of magnitude higher than regularly shaped...

Edentulism of a long standing nature leading to severe alveolar ridge atrophy with a resultant thin ridge often pose a great challenge to the clinicians for rendering implant supported prosthesis in that region. The ideal treatment in such a scenario will be the ridge expansion procedure for achieving an increase in the available bone volume at the implantation site. The space thus created betw...

Yuen Yiu,1,* A. A. Aczel,2,† G. E. Granroth,3 D. L. Abernathy,2 M. B. Stone,2 W. J. L. Buyers,4 J. Y. Y. Lin,5 G. D. Samolyuk,6 G. M. Stocks,6 and S. E. Nagler2 1Department of Physics and Astronomy, University of Tennessee, Knoxville, Tennessee 37996, USA 2Quantum Condensed Matter Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA 3Neutron Data Analysis and Visualization D...

Alveolar ridge distraction is a recent and promising technique for ridge augmentation. Since 1997, a new distraction system incorporating a distraction implant has been in use. It can be used for alveolar ridge distraction and is not removed from the alveolar ridge. Upon completion of the distraction, it remains in the alveolar process for later prosthetic treatment. Thirty-five patients were t...

Ridge detection in digital imagery, unlike edge detection, is an area that has received relatively little attention. Ridges are long, narrow structures that are perceptibly brighter than the background. Examples of ridges include roads in aerial images and vessels in medical images. The ability to rapidly and accurately label ridge pixels in a digital image is an important first step in many co...