Label distribution feature selection based on hierarchical structure and neighborhood granularity

X Lu, W Qian, S Dai, J Huang - Information Fusion, 2024 - Elsevier
Abstract Label Distribution Learning (LDL) addresses label ambiguity in datasets but
struggles with high-dimensional data due to irrelevant features. Label Distribution Feature …

Apparent age prediction from faces: A survey of modern approaches

O Agbo-Ajala, S Viriri, M Oloko-Oba, O Ekundayo… - Frontiers in big …, 2022 - frontiersin.org
Apparent age estimation via human face image has attracted increased attention due to its
numerous real-world applications. Predicting the apparent age has been quite difficult for …

Pediatric age estimation from thoracic and abdominal CT scout views using deep learning

A Demircioğlu, K Nassenstein, L Umutlu - Scientific Reports, 2023 - nature.com
Age assessment is regularly used in clinical routine by pediatric endocrinologists to
determine the physical development or maturity of children and adolescents. Our study …

Time majority voting, a PC-based EEG classifier for non-expert users

G Dou, Z Zhou, X Qu - International Conference on Human-Computer …, 2022 - Springer
Abstract Using Machine Learning and Deep Learning to predict cognitive tasks from
electroencephalography (EEG) signals is a rapidly advancing field in Brain-Computer …

Facial Age Estimation Models for Embedded Systems: A Comparative Study

Z Doždor, T Hrkać, K Brkić, Z Kalafatić - IEEE access, 2023 - ieeexplore.ieee.org
Automated age estimation from face images is the process of assigning either an exact age
or a specific age range to a facial image. In this paper a comparative study of the current …

Multi-Task Learning Using Uncertainty to Weigh Losses for Heterogeneous Face Attribute Estimation

H Yuan, Y He, P Du, L Song - arXiv preprint arXiv:2403.00561, 2024 - arxiv.org
Face images contain a wide variety of attribute information. In this paper, we propose a
generalized framework for joint estimation of ordinal and nominal attributes based on …