Hans C. van Houwelingen Saskia le Cessie Department of Medical Statistics, Leiden, The Netherlands P.O.Box 9604 2300 RC Leiden, The Netherlands email: [email protected] Abstract A review is given of shrinkage and penalization as tools to improve predictive accuracy of regression models. The James-Stein estimator is taken as starting point. Procedures covered are the Pre-test Estimation, ...

Fisher linear discriminant analysis (FDA) and its kernel extension—kernel discriminant analysis (KDA)—are well known methods that consider dimensionality reduction and classification jointly. While widely deployed in practical problems, there are still unresolved issues surrounding their efficient implementation and their relationship with least mean squares procedures. In this paper we address...

For many phase extraction algorithms, a priori knowledge of a fringe-pattern density distribution is beneficial for later processing. A fringe-density estimation method based on a continuous wavelet transform (CWT) is proposed. For a one-dimensional signal the instantaneous frequency detected at the CWT ridge is directly adopted as a measure of the local fringe density. For a two-dimensional si...

Hengfu Yin, Chun Ju Chen, Jun Yang, David J. Weston, Jin-Gui Chen, Wellington Muchero, Ning Ye, Timothy J. Tschaplinski, Stan D. Wullschleger, Zong-Ming (Max) Cheng, Gerald A. Tuskan, and Xiaohan Yang 1Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA 2BioEnergy Science Center, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA 3Environmental Scien...

Human face aging is irreversible process causing changes in human face characteristics such us hair whitening, muscles drop and wrinkles. Due to the importance of human face aging in biometrics systems, age estimation became an attractive area for researchers. This paper presents a novel method to estimate the age from face images, using binarized statistical image features (BSIF) and local bin...

We present a kernel-based framework for pattern recognition, regression estimation, function approximation, and multiple operator inversion. Adopting a regularization-theoretic framework, the above are formulated as constrained optimization problems. Previous approaches such as ridge regression, support vector methods, and regularization networks are included as special cases. We show connectio...

background: lateral ridge split technique is a way to solve the problem of the width in narrow ridges with adequate height. simultaneous insertion of dental implants will considerably reduce the edentulism time. materials and methods: twenty-five patients who were managed with ridge splitting technique were enrolled. thirty-eight locations in both jaws with near equal distribution in quadrants ...

The estimation of multivariate regression functions from bounded i.i.d. data is considered. TheL2 error with integration with respect to the design measure is used as an error criterion. The distribution of the design is assumed to be concentrated on a finite set. Neural network estimates are defined by minimizing the empirical L2 risk over various sets of feedforward neural networks. Nonasympt...

In this paper, a new robust orientation estimation for Coherence Enhancement Diffusion (CED) is proposed. In CED, proper scale selection is very important as the gradient vector at that scale reflects the orientation of local ridge. For this purpose, a new scheme is proposed in which pre calculated orientation, by using orientation diffusion, is used to find the correct true local scale. From t...

We present an analysis of ridge-type estimation methods and their performance in response to different kinds, illconditioned, of equations systems derived from GPS observations, in order to overcome the effects of this illconditioning. We deal with the elements of the main diagonal of the normal matrix in order to alter the solution. We compare the solution accuracy with the least squares stand...