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Facial Age Estimation With Age Difference
IEEE Transactions on Image Processing, 2017Age estimation based on the human face remains a significant problem in computer vision and pattern recognition. In order to estimate an accurate age or age group of a facial image, most of the existing algorithms require a huge face data set attached with age labels.
Zhenzhen Hu 0004 +5 more
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Annual Review of Genomics and Human Genetics, 2000
The age of an allele can be estimated both from genetic variation among different copies (intra-allelic variation) and from its frequency. Estimates based on intra-allelic variation follow from the exponential decay of linkage disequilibrium because of recombination and mutation.
M, Slatkin, B, Rannala
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The age of an allele can be estimated both from genetic variation among different copies (intra-allelic variation) and from its frequency. Estimates based on intra-allelic variation follow from the exponential decay of linkage disequilibrium because of recombination and mutation.
M, Slatkin, B, Rannala
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Pattern Recognition Letters, 2019
Abstract Age estimation is a challenging research topic in recent years. Existing approaches usually use only appearance features for age estimation. Personalized aging patterns, i.e., sequences of personal features, which have been shown as an important factor for improving age estimation accuracy, however, are not considered in their researches. We
Huiying Zhang +3 more
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Abstract Age estimation is a challenging research topic in recent years. Existing approaches usually use only appearance features for age estimation. Personalized aging patterns, i.e., sequences of personal features, which have been shown as an important factor for improving age estimation accuracy, however, are not considered in their researches. We
Huiying Zhang +3 more
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Age Estimation in the Living: Osteology and Age Estimation
2016Age can be estimated from the skeleton in both deceased and living individuals. During development age is typically estimated via assessment of the appearance, changing morphology, and fusion of ossification centers. These events have a very well-documented developmental chronology and are assessed via a combination of morphological and metric ...
Cunningham, Craig A., Black, Sue
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Age estimation with dynamic age range
Multimedia Tools and Applications, 2016Age estimation has been widely used and became more and more important, for its usefulness in various applications. However, accurately predict the age for an unlabeled image is difficult, because there are many factors that have impact on the appearance of a person.
De-He Lai +4 more
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Perceptual and Motor Skills, 1994
A significant positive relationship was found between numerosity estimation and age.
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A significant positive relationship was found between numerosity estimation and age.
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Age estimation in competitive sports
International Journal of Legal Medicine, 2016To maintain the principle of sporting fairness and to protect the health of athletes, it is essential that age limits for youth sporting competitions are complied with. Forensic scientists have developed validated procedures for age estimation in living individuals. Methods have also been published for age estimation in competitive sports.
Jürgen M Steinacker +2 more
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Age Estimation in the Living: Osteology and Age Estimation
Age can be estimated from the skeleton in both deceased and living individuals. During development age is typically estimated via assessment of the appearance, changing morphology, and fusion of ossification centers. These events have a very well-documented developmental chronology and are assessed via a combination of morphological and metric ...Cunningham, Craig, Reid, Rebecca
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Deep probabilities for age estimation
2017 IEEE Visual Communications and Image Processing (VCIP), 2017Human age can provide important demographic information. In this paper, we tackle the estimation of age in face images with probabilities. The design of the proposed method is based on the relative order of age labels in the database. The age estimation problem is transformed into a series of binary classifications achieved by convolution neural ...
Tianyue Zheng, Weihong Deng, Jiani Hu
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