In particular, we develop an ensemble of different machine learning\ntechniques on different subsets of data to improve child detection. Our initial\nresults show a 9.2\\% absolute improvement over the baseline, leading to a\nstate-of-the-art performance.Denys Katerenchuk...
Age group classification based on optical measurement of brain pulsation using machine learning doi:10.1038/s41598-025-87645-wOptical techniques, such as functional near-infrared spectroscopy (fNIRS), contain high potential for the development of non-invasive wearable systems for evaluating cerebral ...
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......
We have studied a dialog control method for interface robots by using location data of persons measured by a Laser Range Scanner as a human-robot interaction technology. In the method, we measured the distance between a sensor and a person with the sensor placed at human waist height as a ...
d) Classification:Age ranges were classified dynamically depending on the number of groups based on the above six features F1 to F6. The SVM was used as the age classifier technique. The age classification was carried out in 2, 3 and 4 age range groups shown in below. Using five features...
. . an umbrella term covering a group of non-progressive, but often changing, ... PL Rosenbaum,SD Walter,SE Hanna,... - 《Jama》 被引量: 1243发表: 2002年 Development and validation of a gross motor function classification system for children with cerebral palsy To address the need for ...
【32】Deep age estimation: From classification to ranking 在细粒度学习技术中,年龄估计是从粗到细的年龄组进行的。更具体地说,对每个分类的年龄组进行年龄组分类并重复执行 【33】Gait-based human age estimation using age group-dependent manifold learning and regression ...
Finally, among the age-group prediction results of four individual teeth of one person, the age group with the highest number of votes was selected as the patient age group. Figure 2 Classification of a panoramic dental X-ray using learned networks to predict age-group of the patient. Full ...
Table 1 Classification Task: Age group classification Full size table An automated approach for determining individuals’ age groups was presented by a group of researchers, employing transfer learning techniques on two convolutional deep neural networks: AlexNet and ResNet-101 [2,3,11,23]. The cla...
and elevated FBG was defined as ≥5.6 mmol/L50. The capacity of the MetS score in indicating traditionally defined MetS was evaluated by the Area Under the receiver operating characteristic (ROC) curve (AUC), the values of which range from 0.5 (no capacity) and 1.0 (complete capacity), ...