Search Results - "NG, Michael K"

Robust tensor completion using transformed tensor singular value decomposition by Song, Guangjing, Ng, Michael K., Zhang, Xiongjun

“…Summary In this article, we study robust tensor completion by using transformed tensor singular value decomposition (SVD), which employs unitary transform…”
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MR-NTD: Manifold Regularization Nonnegative Tucker Decomposition for Tensor Data Dimension Reduction and Representation by Xutao Li, Ng, Michael K., Gao Cong, Yunming Ye, Qingyao Wu

“…With the advancement of data acquisition techniques, tensor (multidimensional data) objects are increasingly accumulated and generated, for example,…”
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Fast Nonconvex Nonsmooth Minimization Methods for Image Restoration and Reconstruction by Nikolova, Mila, Ng, Michael K, Chi-Pan Tam

“…Nonconvex nonsmooth regularization has advantages over convex regularization for restoring images with neat edges. However, its practical interest used to be…”
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Transductive Multilabel Learning via Label Set Propagation by Xiangnan Kong, Ng, M. K., Zhi-Hua Zhou

“…The problem of multilabel classification has attracted great interest in the last decade, where each instance can be assigned with a set of multiple class…”
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Hyperspectral Image Mixed Noise Removal Using Subspace Representation and Deep CNN Image Prior by Zhuang, Lina, Ng, Michael K., Fu, Xiyou

“…The ever-increasing spectral resolution of hyperspectral images (HSIs) is often obtained at the cost of a decrease in the signal-to-noise ratio (SNR) of the…”
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Sparse Canonical Correlation Analysis: New Formulation and Algorithm by Delin Chu, Li-Zhi Liao, Ng, Michael K., Xiaowei Zhang

“…In this paper, we study canonical correlation analysis (CCA), which is a powerful tool in multivariate data analysis for finding the correlation between two…”
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Control of Boolean networks: Hardness results and algorithms for tree structured networks by Akutsu, Tatsuya, Hayashida, Morihiro, Ching, Wai-Ki, Ng, Michael K.

“…Finding control strategies of cells is a challenging and important problem in the post-genomic era. This paper considers theoretical aspects of the control…”
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Multi-Label Classification by Semi-Supervised Singular Value Decomposition by Liping Jing, Chenyang Shen, Liu Yang, Jian Yu, Ng, Michael K.

“…Multi-label problems arise in various domains, including automatic multimedia data categorization, and have generated significant interest in computer vision…”
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Reducing Artifacts in JPEG Decompression Via a Learned Dictionary by Huibin Chang, Ng, Michael K., Tieyong Zeng

“…The JPEG compression method is among the most successful compression schemes since it readily provides good compressed results at a rather high compression…”
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ForesTexter: An efficient random forest algorithm for imbalanced text categorization by Wu, Qingyao, Ye, Yunming, Zhang, Haijun, Ng, Michael K., Ho, Shen-Shyang

“…In this paper, we propose a new random forest (RF) based ensemble method, ForesTexter, to solve the imbalanced text categorization problems. RF has shown great…”
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LiDAR-Based Windshear Detection via Statistical Features by Zhang, Jie, Chan, Pak Wai, Ng, Michael K.

“…Windshear is a kind of microscale meteorological phenomenon which can cause danger to the landing and takeoff of aircrafts. Accurate windshear detection plays…”
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FastHyMix: Fast and Parameter-Free Hyperspectral Image Mixed Noise Removal by Zhuang, Lina, Ng, Michael K.

“…The decrease in the widths of spectral bands in hyperspectral imaging leads to a decrease in signal-to-noise ratio (SNR) of measurements. The decreased SNR…”
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Hyperspectral Nonlinear Unmixing by Using Plug-and-Play Prior for Abundance Maps by Wang, Zhicheng, Zhuang, Lina, Gao, Lianru, Marinoni, Andrea, Zhang, Bing, Ng, Michael K.

“…Spectral unmixing (SU) aims at decomposing the mixed pixel into basic components, called endmembers with corresponding abundance fractions. Linear mixing model…”
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Observation Selection, Total Variation, and L-Curve Methods for LiDAR Data Denoising by Zhang, Jie, Chan, Pak Wai, Ng, Michael K.

“…In this article, we propose a light detection and ranging (LiDAR) data denoising scheme for wind profile observation as a part of quality control procedure for…”
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Patterned Fabric Inspection and Visualization by the Method of Image Decomposition by Ng, Michael K., Ngan, Henry Y. T., Xiaoming Yuan, Wenxing Zhang

“…This paper analyzes the cartoon and texture structures to inspect and visualize defective objects in a patterned fabric image. It presents a method of an image…”
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Graph Spectral Image Processing by Cheung, Gene, Magli, Enrico, Tanaka, Yuichi, Ng, Michael K.

“…Recent advent of graph signal processing (GSP) has spurred intensive studies of signals that live naturally on irregular data kernels described by graphs…”
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Deblurring and Sparse Unmixing for Hyperspectral Images by Xi-Le Zhao, Fan Wang, Ting-Zhu Huang, Ng, M. K., Plemmons, R. J.

“…The main aim of this paper is to study total variation (TV) regularization in deblurring and sparse unmixing of hyperspectral images. In the model, we also…”
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Low Rank Tensor Completion With Poisson Observations by Zhang, Xiongjun, Ng, Michael K.

“…Poisson observations for videos are important models in video processing and computer vision. In this paper, we study the third-order tensor completion problem…”
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An approximation method for solving the steady-state probability distribution of probabilistic Boolean networks by Ching, Wai-Ki, Zhang, Shuqin, Ng, Michael K., Akutsu, Tatsuya

“…Motivation: Probabilistic Boolean networks (PBNs) have been proposed to model genetic regulatory interactions. The steady-state probability distribution of a…”
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Eigenimage2Eigenimage (E2E): A Self-Supervised Deep Learning Network for Hyperspectral Image Denoising by Zhuang, Lina, Ng, Michael K., Gao, Lianru, Michalski, Joseph, Wang, Zhicheng

“…The performance of deep learning-based denoisers highly depends on the quantity and quality of training data. However, paired noisy-clean training images are…”
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