Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Feihu Huang"'
Publikováno v:
Railway Engineering Science, Vol 32, Iss 1, Pp 95-106 (2023)
Abstract The high and steep slopes along a high-speed railway in the mountainous area of Southwest China are mostly composed of loose accumulations of debris with large internal pores and poor stability, which can easily induce adverse geological dis
Externí odkaz:
https://doaj.org/article/275f6f54bdbe44ce8d4d4340b4de83aa
Publikováno v:
IEEE Access, Vol 9, Pp 36819-36826 (2021)
Cost function is one of the most important topics in face recognition. Classic methods based on anchor-positive-negative sample pairs directly or indirectly have been proved to be effective. Taking advantage of information from sample pair with label
Externí odkaz:
https://doaj.org/article/249184cf355941df8f1dabf60b8bab19
Publikováno v:
Sensors, Vol 23, Iss 2, p 809 (2023)
Time series forecasting is a very vital research topic. The scale of time series in numerous industries has risen considerably in recent years as a result of the advancement of information technology. However, the existing algorithms pay little atten
Externí odkaz:
https://doaj.org/article/af3a3c84f4ab45ccac222b1854f63919
Publikováno v:
Applied Sciences, Vol 11, Iss 21, p 9832 (2021)
Heterogeneous graph embedding has become a hot topic in network embedding in recent years and has been widely used in lots of practical scenarios. However, most of the existing heterogeneous graph embedding methods cannot make full use of all the aux
Externí odkaz:
https://doaj.org/article/694c78e515ed4c728d316953e42b62f9
Publikováno v:
Energies, Vol 12, Iss 13, p 2578 (2019)
Shared bikes have become popular traveling tools in our daily life. The successful operation of bike sharing systems (BSS) can greatly promote energy saving in a city. In BSS, stations becoming empty or full is the main cause of customers failing to
Externí odkaz:
https://doaj.org/article/b5c807aae1b54964b30198a3e9ff3571
Publikováno v:
Journal of Vibroengineering. May2024, Vol. 26 Issue 3, p590-614. 25p.
Publikováno v:
Intelligent Data Analysis. 27:297-318
Identifying structural hole spanners that benefit from acting as bridges between communities is a core study in social network analysis. Existing methods for identification mainly focus on measuring the ability of users to control information propaga
Autor:
Feihu Huang, Shangqian Gao
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-11
In the paper, we study a class of useful minimax problems on Riemanian manifolds and propose a class of effective Riemanian gradient-based methods to solve these minimax problems. Specifically, we propose an effective Riemannian gradient descent asce
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 33:4388-4397
Stochastic optimization methods have become a class of popular optimization tools in machine learning. Especially, stochastic gradient descent (SGD) has been widely used for machine learning problems such as training neural networks due to low per-it
Autor:
Feihu Huang, Shangqian Gao
Publikováno v:
Neural Networks. 153:224-234
In the paper, we study a class of novel stochastic composition optimization problems over Riemannian manifold, which have been raised by multiple emerging machine learning applications such as distributionally robust learning in Riemannian manifold s