Search Results - "Low computational complexity"

Fast SVM classifier for large-scale classification problems by Wang, Huajun, Li, Genghui, Wang, Zhenkun

“…Support vector machines (SVM), as one of effective and popular classification tools, have been widely applied in various fields. However, they may incur…”
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Sparse and robust support vector machine with capped squared loss for large-scale pattern classification by Wang, Huajun, Zhang, Hongwei, Li, Wenqian

“…Support vector machine (SVM), being considered one of the most efficient tools for classification, has received widespread attention in various fields…”
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A new fast ADMM for kernelless SVM classifier with truncated fraction loss by Wang, Huajun, Zhou, Weijun, Shao, Yuanhai

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A DOA estimation algorithm based on the low computational complexity log-sum sparse recovery by Lv, Jihui, Liu, Shuai, Jin, Ming, Yan, Feng-Gang

“…•Research highlight 1To further reduce the computational complexity of the KA-SURE-IR and SURE-IR, this paper proposes a low computational complexity log-sum…”
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Sparse and robust alternating direction method of multipliers for large-scale classification learning by Wang, Huajun, Li, Wenqian, Shao, Yuanhai, Zhang, Hongwei

“…Support vector machine (SVM) is a highly effective method in terms of classification learning. Nonetheless, when faced with large-scale classification…”
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Probability-weighted tensor robust PCA with CP decomposition for hyperspectral image restoration by Zhang, Aiyi, Liu, Fulai, Du, Ruiyan

“…•Both sparse outliers and dense noise would affect the recovery performance of Hyperspectral Image.•Different weights could be imposed on the different…”
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Low-complexity frequency-invariant beampattern synthesis using accurate response control for speech extraction by Xu, Jiayi, Li, Jian, Meng, Weixin, Li, Xiaodong, Zheng, Chengshi

“…Beampattern synthesis generally designs weight parameters to form a main beam towards the direction of interest while suppressing interference and…”
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Low computationally complex recurrent neural network for high speed optical fiber transmission by Zhou, Qingyi, Yang, Chuanchuan, Liang, Anzhong, Zheng, Xiaolong, Chen, Zhangyuan

“…The demand for high speed data transmission has increased rapidly over the past few years, leading to the development of the data center concept. Considering…”
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Low-Computational-Complexity Zeroing Neural Network Model for Solving Systems of Dynamic Nonlinear Equations by Zheng, Kangze, Li, Shuai, Zhang, Yunong

“…Nonlinear equation systems are ubiquitous in a variety of fields, and how to tackle them has drawn much attention, especially dynamic ones. As a particular…”
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Nonnegative graph embedding induced unsupervised feature selection by Mi, Yong, Chen, Hongmei, Yuan, Zhong, Luo, Chuan, Horng, Shi-Jinn, Li, Tianrui

“…Recently, many unsupervised feature selection (UFS) methods have been developed due to their effectiveness in selecting valuable features to improve and…”
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Low-complexity Repetitive Double-Vector Model Predictive Control Optimization Strategy for T-type Three-level Converter by Fang, Jian, Li, Ruihua, Wang, Hanqing, Sun, Chenwei, Hu, Bo

“…Conventional multi-vector model predictive control (MV-MPC) for three-level converters suffers from high computational complexity and low optimal…”
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Model Order Reduction of Large-Scale Wind Farms: A Data-Driven Approach by Gong, Zilong, Mao, Junyu, Junyent-Ferre, Adria, Scarciotti, Giordano

“…This paper proposes a data-driven algorithm for model order reduction (MOR) of large-scale wind farms and studies the effects that the obtained reduced-order…”
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Inverse-free zeroing neural network for time-variant nonlinear optimization with manipulator applications by Chen, Jielong, Pan, Yan, Zhang, Yunong, Li, Shuai, Tan, Ning

“…In this paper, the problem of time-variant optimization subject to nonlinear equation constraint is studied. To solve the challenging problem, methods based on…”
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Design and PIL implementation of a new robust backstepping based low-complexity voltage-oriented control method for four-leg rectifiers by Chebabhi, Ali, Defdaf, Mabrouk, Kessal, Abdelhalim

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Low Computational Complexity Digital Predistortion Based on Convolutional Neural Network for Wideband Power Amplifiers by Liu, Zhijun, Hu, Xin, Xu, Lexi, Wang, Weidong, Ghannouchi, Fadhel M.

“…The convolutional neural network (CNN) based power amplifier (PA) model has been proven to reduce the model complexity significantly. However, due to the…”
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Sparse and robust elastic net support vector machine with bounded concave loss for large-scale problems by Wang, Huajun, Li, Wenqian

“…The elastic net support vector machine is an extensively employed method for addressing a range of classification tasks. Nevertheless, a significant drawback…”
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Robust Model Predictive Control of DC-DC Floating Interleaved Boost Converter With Multiple Uncertainties by Sartipizadeh, Hossein, Harirchi, Farnaz, Babakmehr, Mohammad, Dehghanian, Payman

“…DC-DC Floating Interleaved Boost Converter (FIBC) is recently introduced for converting low-level voltage generated by a renewable energy source to high-level…”
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A novel highly efficient alternating direction method of multipliers for large-scale trimmed concave SVM by Wang, Huajun, Li, Wenqian

“…Support vector machine (SVM) is widely utilized for classification in diverse fields thanks to its superior performance. However, when tackling large-scale SVM…”
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Fast ramp fraction loss SVM classifier with low computational complexity for pattern classification by Wang, Huajun, Li, Wenqian

“…The support vector machine (SVM) is a powerful tool for pattern classification thanks to its outstanding efficiency. However, when encountering extensive…”
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Fast Computation of Zero-Forcing Precoding for Massive MIMO-OFDM Systems by Liu, Junkai, Zhang, Wei, Jiang, Yi

“…As a simple and popular transmission scheme, zero-forcing (ZF) precoding can effectively reap the great benefits of a multiple-input multiple-output orthogonal…”
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