Generative adversarial networks and faster-region convolutional neural networks based object detection in X-ray baggage security imagery
J Kim, J Kim, J Ri - OSA Continuum, 2020 - opg.optica.org
X-ray images have now been widely used in public transportation security. However, the
ever-increasing number of dangerous object types, along with the complexity of the …
ever-increasing number of dangerous object types, along with the complexity of the …
Bayesian matrix factorization for semibounded data
Bayesian non-negative matrix factorization (BNMF) has been widely used in different
applications. In this article, we propose a novel BNMF technique dedicated to semibounded …
applications. In this article, we propose a novel BNMF technique dedicated to semibounded …
Common semantic representation method based on object attention and adversarial learning for cross-modal data in IoV
With the significant development of the Internet of Vehicles (IoV), various modal data, such
as image and text, are emerging, which provide data support for good vehicle networking …
as image and text, are emerging, which provide data support for good vehicle networking …
Importance of small probability events in big data: Information measures, applications, and challenges
In many applications (eg, anomaly detection and security systems) of smart cities, rare
events dominate the importance of the total information on big data collected by the Internet …
events dominate the importance of the total information on big data collected by the Internet …
Adaptive visual interaction based multi-target future state prediction for autonomous driving vehicles
L Du, Z Wang, L Wang, Z Zhao, F Su… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Predicting the state of dynamic objects in a real traffic environment is a key issue in
autonomous driving vehicles. Various approaches have been proposed to learn the …
autonomous driving vehicles. Various approaches have been proposed to learn the …
Link sign prediction by variational bayesian probabilistic matrix factorization with student-t prior
In signed social networks, link sign prediction refers to using the observed link signs to infer
the signs of the remaining links, which is important for mining and analyzing the evolution of …
the signs of the remaining links, which is important for mining and analyzing the evolution of …
Coupled tensor decomposition for user clustering in mobile internet traffic interaction pattern
The rapid developments in mobile Internet are reshaping our lives and activities.
Understanding the user behaviors and dynamics in such a large-scale network is essential …
Understanding the user behaviors and dynamics in such a large-scale network is essential …
Variational inference and learning of piecewise linear dynamical systems
X Alameda-Pineda, V Drouard… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Modeling the temporal behavior of data is of primordial importance in many scientific and
engineering fields. Baseline methods assume that both the dynamic and observation …
engineering fields. Baseline methods assume that both the dynamic and observation …
Doubly non-central beta matrix factorization for DNA methylation data
We present a new non-negative matrix factorization model for $(0, 1) $ bounded-support
data based on the doubly non-central beta (DNCB) distribution, a generalization of the beta …
data based on the doubly non-central beta (DNCB) distribution, a generalization of the beta …
Comparisons of non-gaussian statistical models in DNA methylation analysis
As a key regulatory mechanism of gene expression, DNA methylation patterns are widely
altered in many complex genetic diseases, including cancer. DNA methylation is naturally …
altered in many complex genetic diseases, including cancer. DNA methylation is naturally …