11 citations · 22 across the 4 of their papers we have counts for
4 papers · 1 filter
Enhanced 3DTV Regularization and Its Applications on Hyper-spectral Image Denoising and Compressed Sensing
Jiangjun Peng, Qi Xie, Qian Zhao +3
The 3-D total variation (3DTV) is a powerful regularization term, which encodes the local smoothness prior structure underlying a hyper-spectral image (HSI), for general HSI proces…
Hyperspectral Image Restoration via Total Variation Regularized Low-rank Tensor Decomposition
Yao Wang, Jiangjun Peng, Qian Zhao +3
Hyperspectral images (HSIs) are often corrupted by a mixture of several types of noise during the acquisition process, e.g., Gaussian noise, impulse noise, dead lines, stripes, and…
SPLBoost: An Improved Robust Boosting Algorithm Based on Self-paced Learning
Kaidong Wang, Yao Wang, Qian Zhao +2
It is known that Boosting can be interpreted as a gradient descent technique to minimize an underlying loss function. Specifically, the underlying loss being minimized by the tradi…
A General Model for Robust Tensor Factorization with Unknown Noise
Xi'ai Chen, Zhi Han, Yao Wang +4
Because of the limitations of matrix factorization, such as losing spatial structure information, the concept of low-rank tensor factorization (LRTF) has been applied for the recov…