Search Results - "alternating minimization algorithm"

High-dimensional low-rank three-way tensor autoregressive time series predictor by Wang, Haoning, Zhang, Liping

“…Recently, tensor time-series forecasting has gained increasing attention, whose core requirement is how to perform dimensionality reduction. In this paper, we…”
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Splitting Methods for Convex Clustering by Chi, Eric C., Lange, Kenneth

“…Clustering is a fundamental problem in many scientific applications. Standard methods such as k-means, Gaussian mixture models, and hierarchical clustering,…”
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Learnable Spatial-Spectral Transform-Based Tensor Nuclear Norm for Multi-Dimensional Visual Data Recovery by Liu, Sheng, Leng, Jinsong, Zhao, Xi-Le, Zeng, Haijin, Wang, Yao, Yang, Jing-Hua

“…Recently, transform-based tensor nuclear norm (TNN) methods have received increasing attention as a powerful tool for multi-dimensional visual data (color…”
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Alternating minimization differential privacy protection algorithm for the novel dual-mode learning tasks model by Zhao, Pengfei, Zhang, Kaili, Zhang, Haibin, Chen, Haibin

“…The privacy-protected algorithm (PPA) is pivotal in the realm of machine learning, especially for handling sensitive data types, such as medical and financial…”
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Nonlocal Structured Sparsity Regularization Modeling for Hyperspectral Image Denoising by Zha, Zhiyuan, Wen, Bihan, Yuan, Xin, Zhang, Jiachao, Zhou, Jiantao, Lu, Yilong, Zhu, Ce

“…The nonlocal-based model for hyperspectral image (HSI) denoising first uses nonlocal self-similarity (NSS) prior to group similar full-band patches into 3-D…”
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Signal Recovery From Unlabeled Samples by Haghighatshoar, Saeid, Caire, Giuseppe

“…In this paper, we study the recovery of a signal from a set of noisy linear projections (measurements), when such projections are unlabeled, that is, the…”
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Tensor completion via total curvature variation and low-rank matrix factorization by Xu, Zhi, Yang, Jing-Hua, Zhao, Xi-Le, Yan, Xi-hong, Wang, Chuan-long

“…Curvature-based regularization has attracted growing concern in the field of image restoration, benefiting from its favorable geometric properties, such as…”
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Robust enhanced indexation optimization with sparse industry layout constraint by Allen-Zhao, Zhihua, Xu, Fengmin, Dai, Yu-Hong, Liu, Sanyang

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Data-Driven Joint Distributionally Robust Chance-Constrained Operation for Multiple Integrated Electricity and Heating Systems by Zhai, Junyi, Jiang, Yuning, Zhou, Ming, Shi, Yuanming, Chen, Wei, Jones, Colin N.

“…Integrating heating and electricity networks offers extra flexibility to the energy system operation while improving energy utilization efficiency. This paper…”
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Tensor Completion via A Generalized Transformed Tensor T-Product Decomposition Without t-SVD by He, Hongjin, Ling, Chen, Xie, Wenhui

“…Matrix and tensor nuclear norms have been successfully used to promote the low-rankness of tensors in low-rank tensor completion. However, singular value…”
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An Enhanced Regularized Clustering Method With Adaptive Spurious Connection Detection by Chen, Huangyue, Kong, Lingchen, Qu, Wentao, Xiu, Xianchao

“…The regularized clustering (RC) framework based on the fusion penalty has attracted extensive attention in the last decade because it does not require the…”
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Low-Complexity Modeling of Partially Available Second-Order Statistics: Theory and an Efficient Matrix Completion Algorithm by Zare, Armin, Yongxin Chen, Jovanovic, Mihailo R., Georgiou, Tryphon T.

“…State statistics of linear systems satisfy certain structural constraints that arise from the underlying dynamics and the directionality of input disturbances…”
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A doubly sparse and low-patch-rank prior model for image restoration by He, Hongjin, Zhao, Lulu

“…•A unified doubly sparse and low-patch-rank prior model including two complementary sparse terms and one nuclear norm term.•A new low-patch-rank minimization…”
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Path planning for mobile-anchor based wireless sensor network localization: Static and dynamic schemes by Erdemir, Ecenaz, Tuncer, T. Engin

“…In wireless sensor networks, node locations are required for many applications. Usually, anchors with known positions are employed for localization. Sensor…”
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A Learned Proximal Alternating Minimization Algorithm and Its Induced Network for a Class of Two-Block Nonconvex and Nonsmooth Optimization by Chen, Yunmei, Liu, Lezhi, Zhang, Lei

“…This work proposes a general learned proximal alternating minimization algorithm, LPAM, for solving learnable two-block nonsmooth and nonconvex optimization…”
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A Unified Bregman Alternating Minimization Algorithm for Generalized DC Programs with Application to Imaging by He, Hongjin, Zhang, Zhiyuan

“…In this paper, we consider a class of nonconvex (not necessarily differentiable) optimization problems called generalized Difference-of-Convex functions (DC)…”
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A Penalized Likelihood Method for Classification With Matrix-Valued Predictors by Molstad, Aaron J., Rothman, Adam J.

“…We propose a penalized likelihood method to fit the linear discriminant analysis model when the predictor is matrix valued. We simultaneously estimate the…”
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A Retinex modulated piecewise constant variational model for image segmentation and bias correction by Wu, Yongfei, Li, Meng, Zhang, Qifeng, Liu, Yang

“…In this paper, we propose a novel Retinex induced piecewise constant variational model for simultaneous segmentation of images with intensity inhomogeneity and…”
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A sparse regularization approach to inverse heat source identification by Lu, Zhong-Rong, Pan, Tiancheng, Wang, Li

“…•A new sparse regularization approach is proposed for both location and strength identification of the heat sources.•The key idea resides at that the heat…”
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Blind separation of structural modes by compact-bandwidth regularization by Wang, Li, Huang, Min, Lu, Zhong-Rong

“…•A new compact-bandwidth regularization approach is proposed within the signal processing framework for operational modal analysis.•The key idea behind the…”
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