【78】Gender discrimination age group classification and carried object recognition from gait energy image using fusion of parallel convolutional neural network 【47】Gait-based age estimation using multi-stage convolutional neural network 卷积神经网络具有从输入GEIs自动学习特征的独特能力,并且在大规模数据下表...
The softmax score of each age group represents the probability value that CNNs predict the tooth to the corresponding age group, and the accuracy of the classification task29. The age group with the highest softmax score was selected as the prediction result for the age group of each tooth....
Human age-group classification of facial images with subspace projection and support vector machines In this paper a system is presented for classification of facial images based on facial age estimation. The presented age-group classification system can b......
Age-group classificationGaussian mixture modelFeature selectionThis paper proposes a TV viewer age-group classification method for family members based on TV watching history. User profiling based on watching history is very complex and difficult to achieve. To......
1. Shenyang Center of Geological Survey, CGS, Shenyang 110034, Liaoning, China 2. College of Earth Sciences, Jilin University, Changchun 130061, Jilin, China 3. Institute of Geology, Chinese Academy of Geological Science, Beijing 100037, China 4. School of Prospecting & Surveying ...
Hospitalisation for depressive disorder following unemployment--differentials by gender and immigrant status: a population-based cohort study in Sweden. Exposure: employment status. Explanatory variables: gender and immigrant status. Confounders: age group, education and marital status. Cox regression models...
Hunan Institute of Geological Survey, 2004. 1∶250000 regional geological survey report of Hunan Dao County[R]. 1-335. (in Chinese) Google Scholar HUANG H B, 1990. Characteristics of the Dupangling granite in Guangxi[J]. Regional Geology of China. (3): 231-236. (in Chinese) ...
= 9.46e−08). The differences in average controllability between middle- and old-aged participants for the hub DefaultA – PFCm_4, remained significant at all thresholds tested (Supplementary TablesS1–S4), whereas the hub classification of DefaultB – PFCd_1 was sensitive to higher ...
method several requirements must be met: 1) accurate age and parity classification; 2) a low proportion of "other than own" children in the household; 3) a clearly specified relationship to the head of the household; 4) moderately low mortality for the period; and 5) low migration rates....
Table 1 Pearson correlation of waist circumference, percentage body fat, lean body mass index and fat mass index with body mass index by sex and age group in National Health and Nutrition Examination Survey (NHANES) and Korea NHANES. Full size table The degree of the correlations between fat ...