46 citations · 76 across the 24 of their papers we have counts for
6 papers · 1 filter
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…
Error Gradient-based Variable-Lp Norm Constraint LMS Algorithm for Sparse System Identification
Yong Feng, Fei Chen, Rui Zeng +2
Sparse adaptive filtering has gained much attention due to its wide applicability in the field of signal processing. Among the main algorithm families, sparse norm constraint adapt…
Gradient Compared Lp-LMS Algorithms for Sparse System Identification
Yong Feng, Jiasong Wu, Rui Zeng +2
In this paper, we propose two novel p-norm penalty least mean square (Lp-LMS) algorithms as supplements of the conventional Lp-LMS algorithm established for sparse adaptive filteri…
Color Image Classification via Quaternion Principal Component Analysis Network
Rui Zeng, Jiasong Wu, Zhuhong Shao +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…
p-norm-like Constraint Leaky LMS Algorithm for Sparse System Identification
Yong Feng, Rui Zeng, Jiasong Wu
In this paper, we propose a novel leaky least mean square (leaky LMS, LLMS) algorithm which employs a p-norm-like constraint to force the solution to be sparse in the application o…
p Norm Constraint Leaky LMS Algorithm for Sparse System Identification
Yong Feng, Rui Zeng, Jiasong Wu
This paper proposes a new leaky least mean square (leaky LMS, LLMS) algorithm in which a norm penalty is introduced to force the solution to be sparse in the application of system…