The inter-class face classification problem is more reasonable than the intra-class classification problem.To address this issue,we have carried out empirical research on classifying Indian people to their geographica...The inter-class face classification problem is more reasonable than the intra-class classification problem.To address this issue,we have carried out empirical research on classifying Indian people to their geographical regions.This work aimed to construct a computational classification model for classifying Indian regional face images acquired from south and east regions of India,referring to human vision.We have created an Automated Human Intelligence System(AHIS)to evaluate human visual capabilities.Analysis of AHIS response showed that face shape is a discriminative feature among the other facial features.We have developed a modified convolutional neural network to characterize the human vision response to improve face classification accuracy.The proposed model achieved mean F1 and Matthew Correlation Coefficient(MCC)of 0.92 and 0.84,respectively,on the validation set,outperforming the traditional Convolutional Neural Network(CNN).The CNN-Contoured Face(CNN-FC)model is developed to train contoured face images to investigate the influence of face shape.Finally,to cross-validate the accuracy of these models,the traditional CNN model is trained on the same dataset.With an accuracy of 92.98%,the Modified-CNN(M-CNN)model has demonstrated that the proposed method could facilitate the tangible impact in intra-classification problems.A novel Indian regional face dataset is created for supporting this supervised classification work,and it will be available to the research community.展开更多
Purpose:This study aims to reveal the recent characteristics of school-based teacher development(STD)in China since it is perceived as a key measure to achieve success in raising educational quality in the country.Des...Purpose:This study aims to reveal the recent characteristics of school-based teacher development(STD)in China since it is perceived as a key measure to achieve success in raising educational quality in the country.Design/Approach/Methods:A qualitative research approach with in-depth interviews of 18 teachers at two primary schools in Beijing was used.Findings:Through the lens of cultural-historical activity theory(CHAT),it was observed that the objectives adaptation of teacher communities was made under the control of the District Education Bureau.STD provides the venue for ordinary teachers to learn,understand,and implement the teaching initiatives promoted by the district.Teacher communities at school level therefore implement continuous professional development initiatives promoted by Education Bureau teaching research officers.Originality/Value:This article argues that the administrative style of local government affected teacher community’s object,rules,and division of labor.It also contributes an indigenous interpretation of the CHAT theory.展开更多
文摘The inter-class face classification problem is more reasonable than the intra-class classification problem.To address this issue,we have carried out empirical research on classifying Indian people to their geographical regions.This work aimed to construct a computational classification model for classifying Indian regional face images acquired from south and east regions of India,referring to human vision.We have created an Automated Human Intelligence System(AHIS)to evaluate human visual capabilities.Analysis of AHIS response showed that face shape is a discriminative feature among the other facial features.We have developed a modified convolutional neural network to characterize the human vision response to improve face classification accuracy.The proposed model achieved mean F1 and Matthew Correlation Coefficient(MCC)of 0.92 and 0.84,respectively,on the validation set,outperforming the traditional Convolutional Neural Network(CNN).The CNN-Contoured Face(CNN-FC)model is developed to train contoured face images to investigate the influence of face shape.Finally,to cross-validate the accuracy of these models,the traditional CNN model is trained on the same dataset.With an accuracy of 92.98%,the Modified-CNN(M-CNN)model has demonstrated that the proposed method could facilitate the tangible impact in intra-classification problems.A novel Indian regional face dataset is created for supporting this supervised classification work,and it will be available to the research community.
文摘Purpose:This study aims to reveal the recent characteristics of school-based teacher development(STD)in China since it is perceived as a key measure to achieve success in raising educational quality in the country.Design/Approach/Methods:A qualitative research approach with in-depth interviews of 18 teachers at two primary schools in Beijing was used.Findings:Through the lens of cultural-historical activity theory(CHAT),it was observed that the objectives adaptation of teacher communities was made under the control of the District Education Bureau.STD provides the venue for ordinary teachers to learn,understand,and implement the teaching initiatives promoted by the district.Teacher communities at school level therefore implement continuous professional development initiatives promoted by Education Bureau teaching research officers.Originality/Value:This article argues that the administrative style of local government affected teacher community’s object,rules,and division of labor.It also contributes an indigenous interpretation of the CHAT theory.
