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Author: Liu Lina Wu Qingjiang
Abstract: At present,most gait feathers can not work very well but lateral angles of view in gait recognition technology,even worse obviously than other views usually.In order to solve the problem,a new method gait recognition based on components of angle feature i...
Abstract: At present,most gait feathers can not work very well but lateral angles of view in gait recognition technology,even worse obviously than other views usually.In order to solve the problem,a new method gait recognition based on components of angle feature i...
Author: ZHANG Yong - hong ,TAO Xiao -
Abstract: An efficient proximal support vector machine （PSVM） ensemble algorithm based on Relief（F） is proposed in this paper. Firstly,the feature perturbation based on the Relief（F） algorithm is introduced into the original PSVM ensemble method to create the compo...
Abstract: An efficient proximal support vector machine （PSVM） ensemble algorithm based on Relief（F） is proposed in this paper. Firstly,the feature perturbation based on the Relief（F） algorithm is introduced into the original PSVM ensemble method to create the compo...
Author: CHEN Zi-xuan,LI Zhan-bin,LI Pe
Abstract: According to the advantages of grey model（GM） such as less original data to be required,model to be simplely established and convenient to calculate and the features of least square support vector machine（LS-SVM） such as strong generalization ability,fast...
Abstract: According to the advantages of grey model（GM） such as less original data to be required,model to be simplely established and convenient to calculate and the features of least square support vector machine（LS-SVM） such as strong generalization ability,fast...
Author: GUO Xiang, LIU Xin - bin, ZONG
Abstract: Improving the para stationary temperature of reverse flow reactor for catalytic combustion of contaminants based on neural network by LS - SVM （ least squares support vector machine）, this overcome the local minium and over - fitting of neural network , a...
Abstract: Improving the para stationary temperature of reverse flow reactor for catalytic combustion of contaminants based on neural network by LS - SVM （ least squares support vector machine）, this overcome the local minium and over - fitting of neural network , a...
Author: CHEN Ping, LI Xiu-qiang, XIAO
Abstract: Shot boundary detection is the basis of video analysis.This paper proposes an algorithm of shot boundary detection, which employs Support Vector Machine （SVM） to classify visual attention features based on the research results of psychology. Extensive exp...
Abstract: Shot boundary detection is the basis of video analysis.This paper proposes an algorithm of shot boundary detection, which employs Support Vector Machine （SVM） to classify visual attention features based on the research results of psychology. Extensive exp...
Author: SONG Ying-jun,ZHANG Hua-xiang
Abstract: This paper proposes a kind of SVM classification,which is based on perceptron.This model in the classifier of training,has introduced the perceptron study thought, uses the support vector machines nuclear function to do nuclear calculation,then judges the...
Abstract: This paper proposes a kind of SVM classification,which is based on perceptron.This model in the classifier of training,has introduced the perceptron study thought, uses the support vector machines nuclear function to do nuclear calculation,then judges the...
Author: REN Xiao-kang,SUN Zheng-xing,H
Abstract: This paper uses the information entropy method to measure the rough set＇s fuzziness,and makes the pretreatment before the reduction of rough＇s decision attribute with eliminating the difference which due to the redundance of decision attribute. Combinatio...
Abstract: This paper uses the information entropy method to measure the rough set＇s fuzziness,and makes the pretreatment before the reduction of rough＇s decision attribute with eliminating the difference which due to the redundance of decision attribute. Combinatio...
Author: ZHANG Fei, TASHPOLAT·Tiyip, DI
Abstract: This paper takes the Delta Oasis of Weigan and Kuqa rivers for example,using ETM＋data,discusses the extraction method of soil salinization.This paper reports the SVM＇s classification method based on Independent Component Analysis（ICA）and Texture features（...
Abstract: This paper takes the Delta Oasis of Weigan and Kuqa rivers for example,using ETM＋data,discusses the extraction method of soil salinization.This paper reports the SVM＇s classification method based on Independent Component Analysis（ICA）and Texture features（...
Author: WANG Wei,ZHANG Peng,WANG Run-s
Abstract: A method is proposed for behavior abnormality detection and normal behavior classification of human in video sequence.In this method,the walk activity and the run activity are defined as normal behaviors,and the main innovative point is the selection of t...
Abstract: A method is proposed for behavior abnormality detection and normal behavior classification of human in video sequence.In this method,the walk activity and the run activity are defined as normal behaviors,and the main innovative point is the selection of t...
Author: HONG Zhi-yong, QIN Ke-yun, DEN
Abstract: In text classification community,K-Nearest Neighbor（KNN）and Support Vector Machine（SVM）are all effective classifiers.But both of them have their drawbacks.KNN has a high cost to classify new document when training set is large.SVM is too sensitive to the ...
Abstract: In text classification community,K-Nearest Neighbor（KNN）and Support Vector Machine（SVM）are all effective classifiers.But both of them have their drawbacks.KNN has a high cost to classify new document when training set is large.SVM is too sensitive to the ...
Author: Jl Shangwei JIN Zhihao JIN Wen
Abstract: According to the characteristic frequency of rotating machinery rub - impact fault, the acquisition of fault charaeteristie signal can be obtained by multi - resolution characteristics of wavelet transformation. Further more, as the advantages of support ...
Abstract: According to the characteristic frequency of rotating machinery rub - impact fault, the acquisition of fault charaeteristie signal can be obtained by multi - resolution characteristics of wavelet transformation. Further more, as the advantages of support ...
Author: ZENG Chuan-hua,CHEN Hong,GAO Y
Abstract: In order to achieve color grade automatic identification of bamboo, image processing techniques including filtering and image segmentation were used to preprocess bamboo image, and the bamboo image excluded background was obtained. Color moment characteri...
Abstract: In order to achieve color grade automatic identification of bamboo, image processing techniques including filtering and image segmentation were used to preprocess bamboo image, and the bamboo image excluded background was obtained. Color moment characteri...
Author: XIA Guo-en
Abstract: To improve the prediction abilities of machine learning methods, this paper applied a simple support vector machine（SSVM） to customer churn prediction. The method was compared with NPA regarding customer churn prediction for foreign telecommunication carr...
Abstract: To improve the prediction abilities of machine learning methods, this paper applied a simple support vector machine（SSVM） to customer churn prediction. The method was compared with NPA regarding customer churn prediction for foreign telecommunication carr...
Author: YU Chun-mei, PAN Quan, CHENG Y
Abstract: Whereas small sample size （3S） problem will be arose in both FDA and KFDA. Regularized FDA is an effective solution for this problem. To study the comparison of regularized FDA and support vector machine （ SVM）, this paper derived a novel kernel form of r...
Abstract: Whereas small sample size （3S） problem will be arose in both FDA and KFDA. Regularized FDA is an effective solution for this problem. To study the comparison of regularized FDA and support vector machine （ SVM）, this paper derived a novel kernel form of r...
Author: ZHONGYan-ke
Abstract: This paper was focused on the faults of main convener with the Simulink toolbox of Matlab, the output voltages of different faults had been obtained. Making use of wavelet analysis to process the output voltage, the fault feature had been extracted and th...
Abstract: This paper was focused on the faults of main convener with the Simulink toolbox of Matlab, the output voltages of different faults had been obtained. Making use of wavelet analysis to process the output voltage, the fault feature had been extracted and th...
Author: DENG Jia-Gang LIU Jin QIN Jie
Abstract: In order to study the feasibility of application of IR spectra to traditional Chinese medicine （TCM） property recognition, four different solvent sequences （petroleum ether, ethyl acetate, ethanol and water ） were selected to extract the chemical componen...
Abstract: In order to study the feasibility of application of IR spectra to traditional Chinese medicine （TCM） property recognition, four different solvent sequences （petroleum ether, ethyl acetate, ethanol and water ） were selected to extract the chemical componen...
Author: LI Peng-fei, ZHANG Min
Abstract: This paper extracts the upper triangular half of the covariance matrix of knowing direction signals to construct the direction estimation model. Aiming at the problem that the best parameter of Least Squares-Support Vector Machine（LS-SVM） is hard to selec...
Abstract: This paper extracts the upper triangular half of the covariance matrix of knowing direction signals to construct the direction estimation model. Aiming at the problem that the best parameter of Least Squares-Support Vector Machine（LS-SVM） is hard to selec...
Author: WEI Wei,DONG Ya-bo,LU Dong-min
Abstract: Distributed denial of service （DDoS） attack was defended by distributed filtering.Distributed defense was restricted inside autonomous system （AS）,which was a suitable bound for defense.Both bandwidth and processing capability of victim were considered.Th...
Abstract: Distributed denial of service （DDoS） attack was defended by distributed filtering.Distributed defense was restricted inside autonomous system （AS）,which was a suitable bound for defense.Both bandwidth and processing capability of victim were considered.Th...
Author: MU Chao-xu, ZHANG Rui-min, SUN
Abstract: For the predictive control of nonlinear systems, we present a single-step predictive control algorithm based on model learning and particle swarm optimization（PSO）. The method utilizes least square support vector machine（LSSVM） to estimate the model of a ...
Abstract: For the predictive control of nonlinear systems, we present a single-step predictive control algorithm based on model learning and particle swarm optimization（PSO）. The method utilizes least square support vector machine（LSSVM） to estimate the model of a ...
Author: YANG Yang, SONG Yixu, LIANG We
Abstract: To improve the removal control for robot grinding process, we propose a modeling method based on SVM （support vector machine） regression. By analyzing a group of measurable variables relevant to grinding removal, such as robot＇s speed, contact force and c...
Abstract: To improve the removal control for robot grinding process, we propose a modeling method based on SVM （support vector machine） regression. By analyzing a group of measurable variables relevant to grinding removal, such as robot＇s speed, contact force and c...
Author: DAI Hongliang
Abstract: SVM has been successfully employed to solve the analysis of gene expression data. However, there are still open issues which need to be addressed ： （1） SVM does not offer the mechanism of automatic internal relevant feature selection; （2） There are no sim...
Abstract: SVM has been successfully employed to solve the analysis of gene expression data. However, there are still open issues which need to be addressed ： （1） SVM does not offer the mechanism of automatic internal relevant feature selection; （2） There are no sim...
Author: Xiao Zhi,Li Wenjuan
Abstract: This paper attempts to build up a new personal credit scoring model based on principal component analysis（PCA） and support vector machine（SVM）. In order to present the superiority of this model in consumer credit scoring,it also establishes several other ...
Abstract: This paper attempts to build up a new personal credit scoring model based on principal component analysis（PCA） and support vector machine（SVM）. In order to present the superiority of this model in consumer credit scoring,it also establishes several other ...
Author: GONG Jiong, YU Li-jian, WEI We
Abstract: With the development of automatic control and other technologies, the intelligent automatic incident detection system has provided an effective to achieve the freeway incident detection. However, the traditional methods cannot achieve more superior perfor...
Abstract: With the development of automatic control and other technologies, the intelligent automatic incident detection system has provided an effective to achieve the freeway incident detection. However, the traditional methods cannot achieve more superior perfor...
Author: LIU Xiang-lou, JIA Dong-xu, LI
Abstract: In the SVM-based speaker recognition system study, it is important to obtain a ideal recognition rate. SVM kernel function is one of the most critical factors that affect the recognition rate. The key technology improves the system recognition rate is the...
Abstract: In the SVM-based speaker recognition system study, it is important to obtain a ideal recognition rate. SVM kernel function is one of the most critical factors that affect the recognition rate. The key technology improves the system recognition rate is the...
Author: Li Xingguo, Xie Wei ,Lu Guangs
Abstract: In light of multi-class character of China Mobile customers and the imbalanced datasets distribution of the customers in different classes, the class weighted SVM model CW-SVM was applied to muhi-class classification, a DAG-CWSVM algorithm was proposed. C...
Abstract: In light of multi-class character of China Mobile customers and the imbalanced datasets distribution of the customers in different classes, the class weighted SVM model CW-SVM was applied to muhi-class classification, a DAG-CWSVM algorithm was proposed. C...
Author: Zhuo Jun ,Li Nan, Fang Tao
Abstract: It is an important research direction for semi-automatic extraction of the remote sensing image in the field of remote sensing image processing. This paper puts forward a new approach for semi-automatically extracting polygon feature＇s, with it the intere...
Abstract: It is an important research direction for semi-automatic extraction of the remote sensing image in the field of remote sensing image processing. This paper puts forward a new approach for semi-automatically extracting polygon feature＇s, with it the intere...
Author: YI Xin LI Hui FENG Jianchuan
Abstract: In order to use GA＇s global searching optimized SVM by GA is proposed. It optimizes two capability and SVM＇s sorting capability, parameters of SVM, and classifies signals SVM. The reliability of the sorting algorithm is showm, and very good is found throu...
Abstract: In order to use GA＇s global searching optimized SVM by GA is proposed. It optimizes two capability and SVM＇s sorting capability, parameters of SVM, and classifies signals SVM. The reliability of the sorting algorithm is showm, and very good is found throu...
Author: LI Chang-chun, MAO Ya-ming, SU
Abstract: SAR has the ability to work all weather, and can provide high resolution remote sensing images, so it is an important direction to study. The SAR image classification is a key step for SAR processing. At present, the study on SAR image classification is m...
Abstract: SAR has the ability to work all weather, and can provide high resolution remote sensing images, so it is an important direction to study. The SAR image classification is a key step for SAR processing. At present, the study on SAR image classification is m...
Author: ZHAO Ying, ZHANG Niao-na, ZHAN
Abstract: To determine all status of the electric arc furnace not easily due to the direct conditions of judging the states of the electric furnace are measured not easily. Based on those, this paper proposes a SVM theory-based diagnostic system to determine the fu...
Abstract: To determine all status of the electric arc furnace not easily due to the direct conditions of judging the states of the electric furnace are measured not easily. Based on those, this paper proposes a SVM theory-based diagnostic system to determine the fu...
Author: ZHANG Zhi-ying, JIANG Han-qiao
Abstract: In recent years, horizontal well technology has been widely applied in China and played more and more important role in oil and gas field development. The productivity prediction of horizontal well is an absolutely necessary studied project in the reservo...
Abstract: In recent years, horizontal well technology has been widely applied in China and played more and more important role in oil and gas field development. The productivity prediction of horizontal well is an absolutely necessary studied project in the reservo...