The Experts below are selected from a list of 13200 Experts worldwide ranked by ideXlab platform
Zhengbing Zhang - One of the best experts on this subject based on the ideXlab platform.
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an image segmentation method based on mumford shah model with mask Factor and Neighborhood Factor
Pattern Analysis and Applications, 2020Co-Authors: Luoyu Zhou, Zhengbing ZhangAbstract:A novel image segmentation model is proposed to improve the stability of existing segmentation methods. In the proposed model, we introduce two Factors into the Mumford–Shah model, including mask Factor and Neighborhood Factor. Firstly, the mask Factor can express the image more accurately. Therefore, the new segmentation model can more realistically reflect the structure of the image. Moreover, Neighborhood Factor is used to constrain the evolution of the initial contour. Then the segmentation model is converted into an equivalent form by a level set function. At last, the model can be solved in a simple way based on partial differential equations and extreme values. The experimental results show the proposed method could generate accurate segmentation results, and the segmentation results are not sensitive to initial contour and external disturbances, such as noise and blurring.
Beth E Molnar - One of the best experts on this subject based on the ideXlab platform.
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Neighborhood level Factors associated with physical dating violence perpetration results of a representative survey conducted in boston ma
Journal of Urban Health-bulletin of The New York Academy of Medicine, 2011Co-Authors: Emily F Rothman, Renee M Johnson, Robin Young, Janice Weinberg, Deborah R Azrael, Beth E MolnarAbstract:Neighborhood-level characteristics have been found to be associated with different forms of interpersonal violence, but studies of the relationship between these characteristics and adolescent dating violence are limited. We examined 6 Neighborhood-level Factors in relation to adolescent physical dating violence perpetration using both adolescent and adult assessments of Neighborhood characteristics, each of which was aggregated across respondents to the Neighborhood level. Data came from an in-school survey of 1,530 public high school students and a random-digit-dial telephone survey of 1,710 adult residents of 38 Neighborhoods in Boston. Approximately 14.3% of the youth sample reported one or more acts of physical aggression toward a dating partner in the month preceding the survey. We calculated the odds of past-month physical dating violence by each Neighborhood-level Factor, adjusting for school clustering, gender, race, and nativity. In our first 6 models, we used the adolescent assessment of Neighborhood Factors and then repeated our procedures using the adult assessment data. Using the adolescent assessment data, lower collective efficacy (AOR = 1.95, 95% CI = 1.09–3.52), lower social control (AOR = 1.92, 95% CI = 1.07–3.43), and Neighborhood disorder (AOR = 1.19, 95% CI = 1.05–1.35) were each associated with increased likelihood of physical dating violence perpetration. However, when we used the adult version of the Neighborhood assessment data, no Neighborhood Factor predicted dating violence. The implications and limitations of these findings are discussed.
Luoyu Zhou - One of the best experts on this subject based on the ideXlab platform.
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an image segmentation method based on mumford shah model with mask Factor and Neighborhood Factor
Pattern Analysis and Applications, 2020Co-Authors: Luoyu Zhou, Zhengbing ZhangAbstract:A novel image segmentation model is proposed to improve the stability of existing segmentation methods. In the proposed model, we introduce two Factors into the Mumford–Shah model, including mask Factor and Neighborhood Factor. Firstly, the mask Factor can express the image more accurately. Therefore, the new segmentation model can more realistically reflect the structure of the image. Moreover, Neighborhood Factor is used to constrain the evolution of the initial contour. Then the segmentation model is converted into an equivalent form by a level set function. At last, the model can be solved in a simple way based on partial differential equations and extreme values. The experimental results show the proposed method could generate accurate segmentation results, and the segmentation results are not sensitive to initial contour and external disturbances, such as noise and blurring.
Emily F Rothman - One of the best experts on this subject based on the ideXlab platform.
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Neighborhood level Factors associated with physical dating violence perpetration results of a representative survey conducted in boston ma
Journal of Urban Health-bulletin of The New York Academy of Medicine, 2011Co-Authors: Emily F Rothman, Renee M Johnson, Robin Young, Janice Weinberg, Deborah R Azrael, Beth E MolnarAbstract:Neighborhood-level characteristics have been found to be associated with different forms of interpersonal violence, but studies of the relationship between these characteristics and adolescent dating violence are limited. We examined 6 Neighborhood-level Factors in relation to adolescent physical dating violence perpetration using both adolescent and adult assessments of Neighborhood characteristics, each of which was aggregated across respondents to the Neighborhood level. Data came from an in-school survey of 1,530 public high school students and a random-digit-dial telephone survey of 1,710 adult residents of 38 Neighborhoods in Boston. Approximately 14.3% of the youth sample reported one or more acts of physical aggression toward a dating partner in the month preceding the survey. We calculated the odds of past-month physical dating violence by each Neighborhood-level Factor, adjusting for school clustering, gender, race, and nativity. In our first 6 models, we used the adolescent assessment of Neighborhood Factors and then repeated our procedures using the adult assessment data. Using the adolescent assessment data, lower collective efficacy (AOR = 1.95, 95% CI = 1.09–3.52), lower social control (AOR = 1.92, 95% CI = 1.07–3.43), and Neighborhood disorder (AOR = 1.19, 95% CI = 1.05–1.35) were each associated with increased likelihood of physical dating violence perpetration. However, when we used the adult version of the Neighborhood assessment data, no Neighborhood Factor predicted dating violence. The implications and limitations of these findings are discussed.
Janice Weinberg - One of the best experts on this subject based on the ideXlab platform.
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Neighborhood level Factors associated with physical dating violence perpetration results of a representative survey conducted in boston ma
Journal of Urban Health-bulletin of The New York Academy of Medicine, 2011Co-Authors: Emily F Rothman, Renee M Johnson, Robin Young, Janice Weinberg, Deborah R Azrael, Beth E MolnarAbstract:Neighborhood-level characteristics have been found to be associated with different forms of interpersonal violence, but studies of the relationship between these characteristics and adolescent dating violence are limited. We examined 6 Neighborhood-level Factors in relation to adolescent physical dating violence perpetration using both adolescent and adult assessments of Neighborhood characteristics, each of which was aggregated across respondents to the Neighborhood level. Data came from an in-school survey of 1,530 public high school students and a random-digit-dial telephone survey of 1,710 adult residents of 38 Neighborhoods in Boston. Approximately 14.3% of the youth sample reported one or more acts of physical aggression toward a dating partner in the month preceding the survey. We calculated the odds of past-month physical dating violence by each Neighborhood-level Factor, adjusting for school clustering, gender, race, and nativity. In our first 6 models, we used the adolescent assessment of Neighborhood Factors and then repeated our procedures using the adult assessment data. Using the adolescent assessment data, lower collective efficacy (AOR = 1.95, 95% CI = 1.09–3.52), lower social control (AOR = 1.92, 95% CI = 1.07–3.43), and Neighborhood disorder (AOR = 1.19, 95% CI = 1.05–1.35) were each associated with increased likelihood of physical dating violence perpetration. However, when we used the adult version of the Neighborhood assessment data, no Neighborhood Factor predicted dating violence. The implications and limitations of these findings are discussed.
