An Improved Difference of Gaussian Filter in Face Recognition

Wang, Shoujia; Li, Wenhui; Wang, Ying; Jiang, Yuanyuan; Jiang, Shan; Zhao, Ruoyu

doi:10.4304/jmm.7.6.429-433

Cited by 45 publications

(25 citation statements)

References 11 publications

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“…For the smoothing method, Gaussian filter [8] is employed. Looking at the surface of the cavity as two-dimensional surface, the gradient vector is smoothed.…”

Section: Smoothing Processmentioning

confidence: 99%

Shape Identification Analysis of Cavity in Resin Structure Based on Thermal Nondestructive Testing Method

Maruoka¹,

Kurahashi²,

Iyama³

2016

Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016)

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“…For the smoothing method, Gaussian filter [8] is employed. Looking at the surface of the cavity as two-dimensional surface, the gradient vector is smoothed.…”

Section: Smoothing Processmentioning

confidence: 99%

Shape Identification Analysis of Cavity in Resin Structure Based on Thermal Nondestructive Testing Method

Maruoka¹,

Kurahashi²,

Iyama³

2016

Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016)

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“…Pattern recognition algorithm can be used in the information filtering [12,13,14], such as SVM and KNN algorithm. Their process is very similar with information filtering.…”

Section: Introductionmentioning

confidence: 99%

Research of Improved Network Malicious Information Filtering Model Based on SVM

Du¹,

Chen²

2013

JNW

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The network malicious information filtering is a binary classification problem. The SVM (Support Vector Machine) algorithm can be used in such information filtering model, but the negative samples were difficult to gain in such practical application, so the sample space is imbalance for SVM, the prediction result of classifier would tend to majority class and the filtering error is larger. This paper generate virtual samples space by using the K-means cluster and GA (Genetic Algorithm) algorithm to reduce the imbalance of two kinds of samples, and then use the new sample set to train the SVM classifier. Build the new network malicious information filtering model based on SVM. Experiment based on UCI data set and webpage from internet proved the validity of the new filtering model. The improved information filtering model is suitable for network malicious information filtering

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“…For this reason, for financing institutions, such as banks, how to recognize customers is critical for keeping and attracting customers with high value. However, the database of financing institution is becoming larger, and its noise is increasingly big, so it is helpful to recognize valuable customers and predict customers' interest for bank to effectively analyze, process and explain customer information, and extract the hidden information from large information with data mining technology, so that personalized services can be provided, customers' satisfaction and fidelity can be improved as well [4][5].…”

Section: Introductionmentioning

confidence: 99%

Customer Recognition of Network Finance Based on MKL Algorithm

Wang¹,

Lianggang²,

Wang³

2013

JNW

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Given Bayes neural network method, the direct marketing customer repurchase behavior shall be built to analyze how different customer groups have different expectations on ATM services. Also, application of GMKL algorithm in customer recognition of network finance is proposed, training with the use of 20, 000 customer records extracted from RESSET/DB financial research database. First, transform the numerical characteristics of sample for collected customer record and normalize the data. Next, try to obtain multi-kernel function with different array modes of kernel function and compare the results, and the results show that accuracy of MKL in customer recognition of network finance can be up to 86. 4%, which is obvious higher than that of support vector machine

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An Improved Difference of Gaussian Filter in Face Recognition

Cited by 45 publications

References 11 publications

Shape Identification Analysis of Cavity in Resin Structure Based on Thermal Nondestructive Testing Method

Shape Identification Analysis of Cavity in Resin Structure Based on Thermal Nondestructive Testing Method

Research of Improved Network Malicious Information Filtering Model Based on SVM

Customer Recognition of Network Finance Based on MKL Algorithm

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