Robust Tensor Recovery in Impulsive Noise Based on Correntropy and Hybrid Tensor Sparsity
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2021.3103993
Abstract: Robust tensor recovery aims to reconstruct a multidimensional tensor from its observations contaminated by noise. In this brief, a new formulation based on correntropy and hybrid tensor sparsity measure is proposed for robust tensor recovery… read more here.
Keywords: robust tensor; recovery; tensor sparsity; tensor ... See more keywords
Tensor Recovery With Weighted Tensor Average Rank.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3182541
Abstract: In this article, a curious phenomenon in the tensor recovery algorithm is considered: can the same recovered results be obtained when the observation tensors in the algorithm are transposed in different ways? If not, it… read more here.
Keywords: tensor recovery; tensor; average rank; weighted tensor ... See more keywords
Neighbor Graph Based Tensor Recovery For Accurate Internet Anomaly Detection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2022.3227570
Abstract: Detecting anomalous traffic is a crucial task for network management. Although many anomaly detection algorithms have been proposed recently, constrained by their matrix-based traffic data model, existing algorithms often suffer from low detection accuracy. To… read more here.
Keywords: internet; traffic; graph; detection ... See more keywords
Tensor recovery from noisy and multi-level quantized measurements
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DOI: 10.1186/s13634-020-00698-z
Abstract: Higher-order tensors can represent scores in a rating system, frames in a video, and images of the same subject. In practice, the measurements are often highly quantized due to the sampling strategies or the quality… read more here.
Keywords: quantized measurements; tensor recovery; level quantized; multi level ... See more keywords
Guaranteed Tensor Recovery Fused Low-rankness and Smoothness
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.48550/arxiv.2302.02155
Abstract: Vast visual data like multi-spectral images and multi-frame videos are essentially with the tensor format. However, due to the defects of signal acquisition equipments, the practically collected tensor data are always with evident degradations like… read more here.
Keywords: tensor; tensor recovery; low rankness; tensor data ... See more keywords