activity
20142021
most citedKernel principal component analysis network for image classification

8 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2021★ 1 cited

Subspace-based compressive sensing algorithm for raypath separation in a shallow-water waveguide

Longyu Jiang, Zhe Zhang, Rui Jin +2

Compressive sensing (CS) has been applied to estimate the direction of arrival (DOA) in underwater acoustics. However, the key problem needed to be resolved in a {multipath} propag…

cs.SD2021★ 1 cited

Three dimensional higher-order raypath separation in a shallow-water waveguide

Jiang Longyu, Zhang Zhe, Roux Philippe

Separating raypaths in a multipath shallow-water environment is a challenge problem due to the interferences between them and colored noise existing in ocean environment, especiall…

cs.CV2016

PCANet: An energy perspective

Jiasong Wu, Shijie Qiu, Youyong Kong +3

The principal component analysis network (PCANet), which is one of the recently proposed deep learning architectures, achieves the state-of-the-art classification accuracy in vario…

cs.LG2015★ 8 cited

Kernel principal component analysis network for image classification

Dan Wu, Jiasong Wu, Rui Zeng +3

In order to classify the nonlinear feature with linear classifier and improve the classification accuracy, a deep learning network named kernel principal component analysis network…

cs.CV2014★ 2 cited

Performance evaluation of wavelet scattering network in image texture classification in various color spaces

Jiasong Wu, Longyu Jiang, Xu Han +2

Texture plays an important role in many image analysis applications. In this paper, we give a performance evaluation of color texture classification by performing wavelet scatterin…