Robust principal component analysis (RPCA) via decomposition into low-rank plus sparse matrices offers a powerful framework for a large variety of applications such as image …
J Cao, H He, Y Zhang, W Zhao… - Structural Health …, 2024 - journals.sagepub.com
Studying the crack propagation of ultrahigh-performance concrete (UHPC) helps us understand its mechanical mechanism and assess its structural performance. A novel …
J Li, S Zhang, Z Yang - Electric Power Systems Research, 2022 - Elsevier
To reduce the effect of nonlinearity and volatility in the wind power time sequence, a two- stage short-term wind power forecasting method based on optimized decomposition …
HQ Cai, K Hamm, L Huang, J Li… - IEEE Signal Processing …, 2020 - ieeexplore.ieee.org
Robust principal component analysis (RPCA) is a widely used tool for dimension reduction. In this work, we propose a novel non-convex algorithm, coined Iterated Robust CUR …
H Huang, Y Liu, Z Long, C Zhu - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Low-rank tensor completion recovers missing entries based on different tensor decompositions. Due to its outstanding performance in exploiting some higher-order data …
Q Liu, X Li - IEEE Transactions on Circuits and Systems for …, 2021 - ieeexplore.ieee.org
Background subtraction refers to extracting the foreground from an observed video, and is the fundamental problem of various applications. There are two kinds of popular methods to …
A Alavigharahbagh, V Hajihashemi, JJM Machado… - Information, 2023 - mdpi.com
In this article, a hierarchical method for action recognition based on temporal and spatial features is proposed. In current HAR methods, camera movement, sensor movement …
Background/foreground separation is one of the most fundamental tasks in computer vision, especially for video data. Robust PCA (RPCA) and its tensor extension, namely, Robust …
K Naganuma, S Ono - IEEE Transactions on Geoscience and …, 2022 - ieeexplore.ieee.org
Removing stripe noise, ie, destriping, from remote sensing images is an essential task in terms of visual quality and subsequent processing. Most existing destriping methods are …