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eess.SP2024
Time-Varying Graph Signal Recovery Using High-Order Smoothness and Adaptive Low-rankness
Weihong Guo, Yifei Lou, Jing Qin +1
Time-varying graph signal recovery has been widely used in many applications, including climate change, environmental hazard monitoring, and epidemic studies. It is crucial to choo…
math.OC2024
Power of -Norm Regularized Kaczmarz Algorithms for High-Order Tensor Recovery
Katherine Henneberger, Jing Qin
Tensors serve as a crucial tool in the representation and analysis of complex, multi-dimensional data. As data volumes continue to expand, there is an increasing demand for develop…
cs.CV2024★ 1 cited
Hyperspectral Band Selection based on Generalized 3DTV and Tensor CUR Decomposition
Katherine Henneberger, Jing Qin
Hyperspectral Imaging (HSI) serves as an important technique in remote sensing. However, high dimensionality and data volume typically pose significant computational challenges. Ba…