Abstract: Learning a classifier from ambiguously labeled face images is challenging since training images are not always explicitly-labeled. For instance, face images of two persons in a news photo ...

Abstract: The large number of visual applications in multimedia sharing websites and social networks contribute to the increasing amounts of multimedia data in cyberspace. Video data is a rich source ...

1 Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China. 2 Shandong Engineering Research Center of ...

Traditional meta-heuristic algorithms are often inspired by natural phenomena or biological behaviors, while relatively few are based on human social behavior. Moreover, existing algorithms inspired ...

After the brutal Oct. 7, 2023, attack by Hamas, the Israel Defense Forces deluged Gaza with bombs, drawing on a database painstakingly compiled through the years that detailed home addresses, tunnels ...

gDepartment of Radiological Sciences, University of California, Irvine, CA, USA hDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA ...

In agriculture sector, machine learning has been widely used by researchers for crop yield prediction. However, it is quite difficult to identify the most critical features from a dataset. Feature ...

Objective: Based on machine learning (ML) methods, this study aimed to develop and validate a stable and scalable panel of cognitive tests for the early detection of MCI and dementia based on the ...

The MIPs are synthesis receptor, consisting of polymeric network with selective nano cavities that made based on the shape, size, and functional groups of the template molecule 18. These polymers have ...

Automation, algorithms and machine learning are taking over recruitment and hiring. How do we compete with the rise of robots? Laura is a professional nitpicker and good-humored troubleshooter with ...