Zobrazeno 1 - 10
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pro vyhledávání: '"Ng, Michael K."'
In this paper, we study the problem of low-rank tensor learning, where only a few of training samples are observed and the underlying tensor has a low-rank structure. The existing methods are based on the sum of nuclear norms of unfolding matrices of
Externí odkaz:
http://arxiv.org/abs/2410.18402
Phase-only compressed sensing (PO-CS) is concerned with the recovery of structured signals from the phases of complex measurements. Recent results show that structured signals in the standard sphere $\mathbb{S}^{n-1}$ can be exactly recovered from co
Externí odkaz:
http://arxiv.org/abs/2408.06275
Reduced biquaternion (RB), as a four-dimensional algebra highly suitable for representing color pixels, has recently garnered significant attention from numerous scholars. In this paper, for color image processing problems, we introduce a concept of
Externí odkaz:
http://arxiv.org/abs/2408.05582
Data valuation has garnered increasing attention in recent years, given the critical role of high-quality data in various applications, particularly in machine learning tasks. There are diverse technical avenues to quantify the value of data within a
Externí odkaz:
http://arxiv.org/abs/2405.17464
The cross-channel deblurring problem in color image processing is difficult to solve due to the complex coupling and structural blurring of color pixels. Until now, there are few efficient algorithms that can reduce color infection in deblurring proc
Externí odkaz:
http://arxiv.org/abs/2405.12114
Autor:
Lin, Xue-Lei, Ng, Michael K.
In this paper, we study a $\tau$-matrix approximation based preconditioner for the linear systems arising from discretization of unsteady state Riesz space fractional diffusion equation with non-separable variable coefficients. The structure of coeff
Externí odkaz:
http://arxiv.org/abs/2404.11390
Autor:
Ma, Zhantao, Ng, Michael K.
Multispectral images (MSI) contain light information in different wavelengths of objects, which convey spectral-spatial information and help improve the performance of various image processing tasks. Numerous techniques have been created to extend th
Externí odkaz:
http://arxiv.org/abs/2403.12770
Autor:
Liu, Chengyang, Ng, Michael K.
The image retargeting problem is to find a proper mapping to resize an image to one with a prescribed aspect ratio, which is quite popular these days. In this paper, we propose an efficient and orientation-preserving one-step image retargeting algori
Externí odkaz:
http://arxiv.org/abs/2402.18074
Autor:
Gao, Yihang, Zheng, Chuanyang, Xie, Enze, Shi, Han, Hu, Tianyang, Li, Yu, Ng, Michael K., Li, Zhenguo, Liu, Zhaoqiang
Besides natural language processing, transformers exhibit extraordinary performance in solving broader applications, including scientific computing and computer vision. Previous works try to explain this from the expressive power and capability persp
Externí odkaz:
http://arxiv.org/abs/2402.13572
In generative compressed sensing (GCS), we want to recover a signal $\mathbf{x}^* \in \mathbb{R}^n$ from $m$ measurements ($m\ll n$) using a generative prior $\mathbf{x}^*\in G(\mathbb{B}_2^k(r))$, where $G$ is typically an $L$-Lipschitz continuous g
Externí odkaz:
http://arxiv.org/abs/2310.03758