4 papers
Reparameterized Tensor Ring Functional Decomposition for Multi-Dimensional Data Recovery
Yangyang Xu, Junbo Ke, You-Wei Wen +1
Tensor Ring (TR) decomposition is a powerful tool for high-order data modeling, but is inherently restricted to discrete forms defined on fixed meshgrids. In this work, we propose…
Content-Aware Frequency Encoding for Implicit Neural Representations with Fourier-Chebyshev Features
Junbo Ke, Yangyang Xu, You-Wei Wen +1
Implicit Neural Representations (INRs) have emerged as a powerful paradigm for various signal processing tasks, but their inherent spectral bias limits the ability to capture high-…
Variational Bayesian Inference for Tensor Robust Principal Component Analysis
Chao Wang, Huiwen Zheng, Raymond Chan +1
Tensor Robust Principal Component Analysis (TRPCA) holds a crucial position in machine learning and computer vision. It aims to recover underlying low-rank structures and to charac…
Tensor robust principal component analysis via the tensor nuclear over Frobenius norm
Huiwen Zheng, Yifei Lou, Guoliang Tian +1
We address the problem of tensor robust principal component analysis (TRPCA), which entails decomposing a given tensor into the sum of a low-rank tensor and a sparse tensor. By lev…