نتایج جستجو برای: generalized ridge jel classification c01
تعداد نتایج: 674844 فیلتر نتایج به سال:
JEL CLASSIFICATION C26, C99, D03, I18. PSYCINFO CLASSIFICATION 2360; 3920.
Fingerprint Recognition has been widely used for personal authentication for several centuries. Most of these systems are based on minutiae features like ridge bifurcation and ridge ending. In this paper we present fingerprint recognition by using only ridge ending as the feature vector. A new model is proposed for both denoising and segmentation and the minutiae points are extracted directly f...
Several previous studies have investigated the gender difference of the fingerprint features. However, regarding to the statistical significance of such differences, inconsistent results have been obtained. To resolve this problem and to develop a method for gender determination, this work proposes and tests three fingertip features for gender determination. Fingerprints were obtained from 115 ...
The purpose of this chapter is to give a brief overview of data mining and to introduce direct kernel methods as a general-purpose and powerful data mining tool for predictive modeling, feature selection and visualization. Direct kernel methods are a generalized methodology to convert linear modeling tools into nonlinear regression models by applying the kernel transformation as a data pre-proc...
Context. Among optical stellar interferometers, the CHARA Array located at Mt Wilson in California offers the potential of very long baselines (up to 330 m) and the prospect of coupling multiple beam combiners. This paper presents the principle and the measured performance of VEGA, Visible spEctroGraph and polArimeter installed in September 2007 at the coherent focus of the array. Aims. With 0....
Ridge estimators regularize the squared Euclidean lengths of parameters. Such are mathematically and computationally attractive but involve tuning parameters that need to be calibrated. It is shown ridge can modified such avoided altogether, resulting estimator improve on prediction accuracies standard combined with cross-validation.
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