Suchergebnisse - "Alternating Minimization Algorithm"

High-dimensional low-rank three-way tensor autoregressive time series predictor von 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 …”
Volltext

Splitting Methods for Convex Clustering von 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, …”
Volltext

Learnable Spatial-Spectral Transform-Based Tensor Nuclear Norm for Multi-Dimensional Visual Data Recovery von 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 …”
Volltext

Alternating minimization differential privacy protection algorithm for the novel dual-mode learning tasks model von 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 …”
Volltext

Nonlocal Structured Sparsity Regularization Modeling for Hyperspectral Image Denoising von 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 …”
Volltext

Signal Recovery From Unlabeled Samples von 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 …”
Volltext

Tensor completion via total curvature variation and low-rank matrix factorization von 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 …”
Volltext

Robust enhanced indexation optimization with sparse industry layout constraint von Allen-Zhao, Zhihua, Xu, Fengmin, Dai, Yu-Hong, Liu, Sanyang

Volltext

Data-Driven Joint Distributionally Robust Chance-Constrained Operation for Multiple Integrated Electricity and Heating Systems von 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 …”
Volltext

Tensor Completion via A Generalized Transformed Tensor T-Product Decomposition Without t-SVD von 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 …”
Volltext

An Enhanced Regularized Clustering Method With Adaptive Spurious Connection Detection von 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 …”
Volltext

Low-Complexity Modeling of Partially Available Second-Order Statistics: Theory and an Efficient Matrix Completion Algorithm von 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 …”
Volltext

A doubly sparse and low-patch-rank prior model for image restoration von 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 …”
Volltext

Path planning for mobile-anchor based wireless sensor network localization: Static and dynamic schemes von 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 …”
Volltext

A Learned Proximal Alternating Minimization Algorithm and Its Induced Network for a Class of Two-Block Nonconvex and Nonsmooth Optimization von 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 …”
Volltext

A Unified Bregman Alternating Minimization Algorithm for Generalized DC Programs with Application to Imaging von 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) …”
Volltext

A Penalized Likelihood Method for Classification With Matrix-Valued Predictors von 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 …”
Volltext

A Retinex modulated piecewise constant variational model for image segmentation and bias correction von 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 …”
Volltext

A sparse regularization approach to inverse heat source identification von 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 …”
Volltext

Blind separation of structural modes by compact-bandwidth regularization von 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 …”
Volltext