195 citations · 301 across the 29 of their papers we have counts for
Showing 2015Show all
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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…