With the onset of the big data era, designing efficient and effective machine learning
algorithms to analyze large-scale data is in dire need. In practice, data is typically generated …

Face recognition has become increasingly popular in recent years. However, in some
special cases, many face recognition calculations cannot be performed effectively due to the …

The proliferation of portable camera devices, represented by smartphones, is increasing the
risk of sensitive internal data being leaked by screen shooting. To trace the leak source, a lot …

Linear Regression (LR) is a classical machine learning algorithm which has many
applications in the cyber physical social systems (CPSS) to shape and simplify the way we …

Face recognition is one of the key technologies in intelligent security systems. Data privacy
and identification efficiency have always been concerns about face recognition. Existing …

Face recognition has been extensively employed in practice, such as attendance system
and public security. Linear discriminant analysis (LDA) algorithm is one of the most …

Singular value decomposition (SVD) is a widely applied foundational decomposition
technique; however, its computational demands often exceed the capabilities of Internet of …

Devices in the Internet-of-Things (IoT) are networked and perform massive computations to
support various social IoT systems. Applications in social IoT systems often involve …

Deploying electronic health records (EHRs) is now an undisputable trend in healthcare
systems. Through affording benefits like flexibility and low cost, the cutting-cloud cloud …

Solving quadratic congruences is a widely applied operation in cryptographic protocols to
ensure the data secrecy in the Internet of Things (IoT). Yet it requires unaffordable …