supported by grant of no.61862050 from the National Nature Science Foundation of China and no.2020AAC03031 from Natural Science Foundation of Ningxia,China.
We propose a collaborative learning method to solve the natural image captioning problem.Numerous existing methods use pretrained image classification CNNs to obtain feature representations for image caption generatio...
This research was supported by the national key research and development program of China(No.2020YFF0305301);the National Natural Science Foundation(61762029,U1811264).References。
With the continuous development of network technology, the numberof streaming media videos is growing rapidly. More and more users are watchingvideos through the Internet, which leads to the increasing huge server loa...
the Key Project of Research and Development Plan of HunanProvince under Grant 2018GK2044;in part by the Natural Science Foundation of Hunan Provinceunder Grant 2018JJ4084;in part by the National Natural Science Youth Fund Project under Grant51805168;in part by the Science and Technology Talent Project of Hunan Province – HuxiangYouth Talent under Grant 2019RS2062.
The bogie is a crucial component of urban rail vehicles,and its performance plays a decisive role in the safe operation of vehicles.Aiming at the intelligent operation and maintenance requirements of rail transit equi...
The statute recommendation problem is a sub problem of the automated decision system, which can help the legal staff to deal with the process of the case in an intelligent and automated way. In this paper, an improved...
A new collaborative filtered recommendation strategy oriented to trajectory data is proposed for communication bottlenecks and vulnerability in centralized system structure location services. In the strategy based on ...
Adaptive learning system supports more personalized learning and improves learning outcome. Mobile learning gives learners new learning mode that learners can learn in anywhere and at any time. People can easily achie...
Side-channel attacks based on supervised learning require that the attacker have complete control over the cryptographic device and obtain a large number of labeled power traces.However,in real life,this requirement i...
The traditional similarity algorithm in collaborative filtering mainly pay attention to the similarity or correlation of users’ratings,lacking the consideration of difference of users’ratings.In this paper,we divide...
This work is supported by the National Natural Science Foundation of China under Grants No. 61272186 and the Foundation of Heilongjiang Postdoctoral under Grant No. LBH-Z12068.
In the era of big data, personalized recommendation has become an important research issue in social networks as it can find and match user’s preference. In this paper, the user trust is integrated into the recommend...