Toward graph-based semi-supervised face beauty prediction

F Dornaika, K Wang, I Arganda-Carreras… - Expert Systems with …, 2020 - Elsevier
Assessing beauty using facial images analysis is an emerging computer vision problem. To
the best of our knowledge, all existing methods for automatic facial beauty scoring rely on …

Drift detection of intelligent sensor networks deployment based on graph stream

W Wang, Q Zhu, H Gao - IEEE Transactions on Network …, 2022 - ieeexplore.ieee.org
The optimal deployment of sensor nodes can effectively improve the monitoring
performance of the sensor network. The existing optimization deployment strategies focus …

Nonlinear, flexible, semisupervised learning scheme for face beauty scoring

F Dornaika, A Elorza, K Wang… - Journal of Electronic …, 2019 - spiedigitallibrary.org
Automatic facial beauty scoring in images is an emerging research topic in face-based
biometrics. All existing methods adopt fully supervised schemes. We introduce the use of …

Image-based face beauty analysis via graph-based semi-supervised learning

F Dornaika, A Elorza, K Wang… - Multimedia Tools and …, 2020 - Springer
Automatic facial beauty analysis has become an emerging research topic. Despite some
achieved advances, current methods and systems suffer from at least two limitations. Firstly …

Deployment Drift Detection in Spatiotemporal Fusion Intelligent Sensor Networks

L Qiao, Q Zhu, R Du, Z Han, W Wang - 2023 - researchsquare.com
The node deployment problem is a primary concern in wireless sensor network (WSN)
technologies. Optimizing the placement of nodes can significantly enhance network …

Parameter self-tuning schemes for the two phase test sample sparse representation classifier

F Dornaika, Y El Traboulsi, Y Ruichek - International journal of machine …, 2020 - Springer
Abstract Sparse Representation Classifier (SRC) and its variants were considered as
powerful classifiers in the domains of computer vision and pattern recognition. However …