Search Results - "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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Data-Driven Attack Detection and Identification for Cyber-Physical Systems Under Sparse Sensor Attacks: Iterative Reweighted l2/l1 Recovery Approach by Wang, Jun-Lan, Li, Xiao-Jian

“…This paper investigates the data-based attack detection and identification for cyber-physical systems (CPSs) under sparse sensor attacks. In order to improve…”
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Joint Subcarrier and Power Allocation for Uplink Integrated Sensing and Communication System by Li, Yiheng, Wei, Zhiqing, Feng, Zhiyong

“…Integrated sensing and communication (ISAC) supporting various emerging applications has become one of the leading technologies in sixth generation (6G)…”
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Learning Hidden Graphs From Samples by Abniki, Ahmad, Beigy, Hamid

“…Several real-world problems, like molecular biology and chemical reactions, have hidden graphs, and we need to learn the hidden graph using edge-detecting…”
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Robust Guided Image Filtering Using Nonconvex Potentials by Ham, Bumsub, Minsu Cho, Ponce, Jean

“…Filtering images using a guidance signal, a process called guided or joint image filtering, has been used in various tasks in computer vision and computational…”
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Blind Kalman Filtering for Short-Term Load Forecasting by Sharma, Shalini, Majumdar, Angshul, Elvira, Victor, Chouzenoux, Emilie

“…In this work we address the problem of short-term load forecasting. We propose a generalization of the linear state-space model where the evolution of the…”
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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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Learning from non-irreducible Markov chains by Sandrić, Nikola, Šebek, Stjepan

“…Most of the existing literature on supervised machine learning problems focuses on the case when the training data set is drawn from an i.i.d. sample. However,…”
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Accurate simulation of the anisotropic dendrite crystal growth by the 3DVar data assimilation by Zheng, Fenglian, Xiao, Xufeng

“…The growth phenomenon of dendritic crystals is a common occurrence in nature, forming a structure similar to tree branches during its evolution. However, in…”
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Modified wave dispersion properties in 1D and 2D state-based peridynamic media by Alebrahim, Reza

“…This study introduces a modification of wave propagation in state-based peridynamics (PD). Comprehensive investigations have been conducted to analyze wave…”
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LPI-constrained collaborative transmit beampattern optimization and resource allocation for maneuvering targets tracking in colocated MIMO radar network by Su, Yang, Cheng, Ting, He, Zishu

“…•This work addresses a low probability of intercept (LPI) constrained collaborative beampattern optimization and resource allocation (LPI-CBORA) for multiple…”
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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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Provable Active Multi-Task Representation Learning by Lin, Jiabin, Moothedath, Shana, Le, Tuan Anh

“…Multi-task representation learning is an emerging machine learning paradigm that integrates data from multiple sources, harnessing task similarities to enhance…”
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Theoretical insights on the pre-image resolution in machine learning by Honeine, Paul

“…While many nonlinear pattern recognition and data mining tasks rely on embedding the data into a latent space, one often needs to extract the patterns in the…”
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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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Fuzzy serial-parallel stochastic configuration networks based on nonconvex dynamic membership function optimization by Qiao, Jinghui, Qiao, Jiayu, Gao, Peng, Bai, Zhe, Xiong, Ningkang

“…A fuzzy series–parallel stochastic configuration networks (F-SPSCN) is proposed based on the application of nonconvex optimization in fuzzy systems. Firstly,…”
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Joint Optimization Scheme for Subcarrier Selection and Power Allocation in Multicarrier Dual-Function Radar-Communication System by Shi, Chenguang, Wang, Yijie, Wang, Fei, Salous, Sana, Zhou, Jianjiang

“…Dual-function radar-communications (DFRC) system has been recognized as a promising solution to alleviate the radio frequency spectrum congestion and the…”
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Polynomial crisp-minimization algorithm for fuzzy deterministic automata by de Mendívil Grau, Aitor González, Fariña, Federico, Stanimirović, Stefan, Micić, Ivana, de Mendívil, José Ramón González

“…Designing automata minimization algorithms is a significant topic in Automata Theory and Languages with practical applications. In this paper, we develop an…”
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Intelligent driving methods based on sparse LSSVM and ensemble CART algorithms for high-speed trains by Cheng, Ruijun, Chen, Dewang, Gai, Weilong, Zheng, Song

“…•Intelligent driving methods (IDMs) are proposed to solve the multi-objective control problem of HST.•We integrate the expert knowledge system, sparse…”
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