This paper represents a robust face recognition system. The proposed face recognition system consist is useful in forming an effective face recognition. Proposed methodovercomes the problem of multi collinearity and also give good results in case of small sample size (SSS) problem . In Image Gradient Regression Approach (IGRA), first in preprocessing stage image is transformed by normalizing gr...

B-spline fitting is a technology of fitting a curve with a set of points which scatter along a line or a curve in 2D or 3D space. In this paper, we use B-spline to represent road lines in images of 36-pair Mobile Mapping System (MMS) image sequences, and road line information can be collected rapidly and cost-effectively. Edge detection and template matching are used to extract data points on t...

We studied spatial integration at low contrasts by testing the detection thresholds of multi Gabor element displays, examining connguration parameters such as orientation uniformity, contour smoothness, continuity, spacing and relative phase. We nd that detectability depends on stimulus geometry and is constrained by collinearity and proximity spatial relations. For a \coherent" connguration (e...

The failure diagnosis of railway vehicle door system is carried out using a test bench and machine learning software for the fast accurate classification. signal length deviation exists in actual collected data normal operation abnormal failures with time delay. traditional multi-segmentation technique feature extraction has shortcomings by assuming that measured time-based signals have same op...

We study questions in incidence geometry where the precise position of points is ‘blurry’ (e.g. due to noise, inaccuracy or error). Thus lines are replaced by narrow tubes, and more generally affine subspaces are replaced by their small neighborhood. We show that the presence of a sufficiently large number of approximately collinear triples in a set of points in C implies that the points are cl...

This Monte Carlo study explored relationships among standard and unstandardized regression coefficients, structural coefficients, multiple R_ squared, and significance level of predictors for a variety of linear regression scenarios. Ten regression models with three predictors were included, and four conditions were varied that were expected to have influences on the relationship under investig...

The aim of the study was to construct the model forecasting the birch pollen season characteristics in Cracow on the basis of an 18-year data series. The study was performed using the volumetric method (Lanzoni/Burkard trap). The 98/95 % method was used to calculate the pollen season. The Spearman's correlation test was applied to find the relationship between the meteorological parameters and ...

This paper represents a robust face recognition system. The proposed face recognition system consist is useful in forming an effective face recognition. Proposed method overcomes the problem of multi collinearity and also give good results in case of small sample size (SSS) problem . In Image Gradient Regression Approach (IGRA), first in preprocessing stage image is transformed by normalizing g...

Acquiring the initial value of all profile of the object is essential for the integration of metrical data. It is described a new smart approach to acquire the initial value of all profile of the object in this paper, which is only to compute the calibration parameters of CCD camera and the projector in every angle, but not to do the complicated coordinate conversion. In the origin position the...