6 citations · 8 across the 3 of their papers we have counts for
3 papers
math.OC2023
high-order proximal point algorithm for the monotone variational inequality problem and its application
Jingyu Gao, Xiurui Geng
The proximal point algorithm (PPA) has been developed to solve the monotone variational inequality problem. It provides a theoretical foundation for some methods, such as the augme…
cs.CV2015★ 6 cited
Natural Scene Recognition Based on Superpixels and Deep Boltzmann Machines
Jinfu Yang, Jingyu Gao, Guanghui Wang +1
The Deep Boltzmann Machines (DBM) is a state-of-the-art unsupervised learning model, which has been successfully applied to handwritten digit recognition and, as well as object rec…
cs.CV2015★ 2 cited
A Novel Feature Extraction Method for Scene Recognition Based on Centered Convolutional Restricted Boltzmann Machines
Jingyu Gao, Jinfu Yang, Guanghui Wang +1
Scene recognition is an important research topic in computer vision, while feature extraction is a key step of object recognition. Although classical Restricted Boltzmann machines…