Face Classification based on Shannon Wavelet Kernel and Modified Fisher Criterion

2006 ◽  
Author(s):  
Wen-Sheng Chen ◽  
Pong Chi Yuen ◽  
Jian Huang ◽  
Jianhuang Lai
Keyword(s):  
Fisher Criterion ◽  
Face Classification ◽  
Shannon Wavelet

Using face classification for detecting acromegaly in a web-based environment

2015 ◽  
Vol 122 (03) ◽  
Author(s):  
R Frohner ◽  
RP Kosilek ◽  
C Reinholz ◽  
G Hackenberg ◽  
D Gogas ◽  
...  
Keyword(s):  
Web Based ◽  
Face Classification

Regression analysis of indicators of a numerical experiment to determine the cooling time of oil

2020 ◽  
pp. 89-97
Author(s):  
A. U. Yakupov ◽  
D. A. Cherentsov ◽  
K. S. Voronin ◽  
Yu. D. Zemenkov
Keyword(s):  
Regression Analysis ◽  
Computer Experiment ◽  
Calculation Model ◽  
Cooling Time ◽  
Regression Coefficients ◽  
Fisher Criterion ◽  
Empirical Relationships ◽  
Factors Affecting ◽  
Oil Pipeline ◽  
Significant Regression

The article performed the processing of the results of a computer experiment to determine the cooling time of oil in a stopped oil pipeline. We proposed a calculation model in previous works that allows you to simulate the process of cooling oil.There was a need to verify the previously obtained results when conducting a laboratory experiment on a stand with soil. To conduct the experiment, it was necessary to conduct the planning of the experiment. The factors affecting the cooling time of oil in the oil pipeline, which will vary in the proposed experiment, are determined, empirical relationships are established. A regression analysis was carried out, and the dispersion homogeneity was checked using the Cochren criterion. The estimates of reproducibility variances are calculated. The adequacy hypothesis was tested using the Fisher criterion. Significant regression coefficients are established.

Unsupervised domain adaptation based on cluster matching and Fisher criterion for image classification

2021 ◽  
Vol 91 ◽  
pp. 107041
Author(s):  
Heyou Chang ◽  
Fanlong Zhang ◽  
Shuai Ma ◽  
Guangwei Gao ◽  
Hao Zheng ◽  
...  
Keyword(s):  
Image Classification ◽  
Domain Adaptation ◽  
Fisher Criterion ◽  
Unsupervised Domain Adaptation ◽  
Cluster Matching

scholarly journals Shannon Wavelet Precision Integration Method for Pathologic Onion Image Segmentation Based on Homotopy Perturbation Technology

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Haihua Wang ◽  
Shu-Li Mei
Keyword(s):  
Image Segmentation ◽  
Burkholderia Cepacia ◽  
Integration Method ◽  
Interpolation Property ◽  
Variational Model ◽  
Nonlinear Odes ◽  
Precise Integration ◽  
Homotopy Perturbation ◽  
Analytical Scheme ◽  
Shannon Wavelet

Image segmentation variational method is good at processing the images with blurry and complicated contours, which is useful in quality identification of pathologic picture of onion. An adaptive Shannon wavelet precise integration method (WPIM) on digital image segmentation was proposed based on the image processing variational model to improve the processing speed and eliminate the artifacts of the images. First, taking full advantage of the interpolation property of the Shannon wavelet function, a multiscale Shannon wavelet interpolation scheme was constructed based on the homotopy perturbation method (HPM). The image pixels of the Burkholderia cepacia (ex-Burkholder) infected onions were taken as the collocation points of the WPIM. Then, with this scheme, the image segmentation model (C-V model) can be discretized into a system of nonlinear ODEs and solved by the half-analytical scheme combining the HPM and the precision integration method. At last, the numerical precision and efficiency of WPIM were discussed and compared with other common segmentation methods such as OSTU method and Sobel operator. The results show that the contour curve of the segmentation object obtained by the new method has many excellent properties such as closed and clear topological structure and the artifacts can be eliminated.

scholarly journals Deep Belief Network and Auto-Encoder for Face Classification

2019 ◽  
Vol 5 (5) ◽  
pp. 22 ◽  
Author(s):  
Nassih Bouchra ◽  
Amine Aouatif ◽  
Ngadi Mohammed ◽  
Hmina Nabil
Keyword(s):  
Deep Belief Network ◽  
Belief Network ◽  
Face Classification
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