Výsledky vyhľadávania - "algorithm design"

Hyperspectral data processing: algorithm design and analysis Autor Chang, Chein-I

“…"This book is intended to be a sequel from the author's other title with Kluwer "Hyperspectral Imaging: Techniques for Spectral Detection and Classification"…”
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Federated Matrix Factorization: Algorithm Design and Application to Data Clustering Autor Wang, Shuai, Chang, Tsung-Hui

“… Since the MF problem involves two blocks of variables and the variables are usually subject to constraints related to specific solution structure, it requires new FL algorithm designs to achieve…”
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Robust Bias-Compensated LMS Algorithm: Design, Performance Analysis and Applications Autor Huang, Fuyi, Song, Fan, Zhang, Sheng, So, Hing Cheung, Yang, Jun

“… estimation subject to a constraint on the squared norm of the weight vector difference, and then introducing an unbiasedness criterion…”
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Distributed algorithm design for constrained resource allocation problems with high-order multi-agent systems Autor Deng, Zhenhua, Chen, Tao

“…This paper studies distributed resource allocation problems of multi-agent systems, where the decisions of agents are subject to inequality network resource constraints and local inequality constraints…”
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Energy Efficient Coordinated Beamforming for Multicell System: Duality-Based Algorithm Design and Massive MIMO Transition Autor Shiwen He, Yongming Huang, Luxi Yang, Ottersten, Bjorn, Wei Hong

“… Our goal is to maximize the utility function defined as the ratio between the system weighted sum rate and the total power consumption subject to the users' quality of service requirements and per-base-station (BS) power constraints…”
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Distributed Resilient Fusion Filtering for Nonlinear Systems with Random Sensor Delays: Optimized Algorithm Design and Boundedness Analysis Autor Hu, Jun, Hu, Zhibin, Dong, Hongli, Liu, Hongjian

“…This paper is concerned with the distributed resilient fusion filtering (DRFF) problem for a class of time-varying multi-sensor nonlinear stochastic systems…”
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Adaptive Consensus-Based Robust Strategy for Economic Dispatch of Smart Grids Subject to Communication Uncertainties Autor Wen, Guanghui, Yu, Xinghuo, Liu, Zhi-Wei, Yu, Wenwu

“…The economic dispatch problem is investigated in this paper for a class of smart grids subject to unknown communication uncertainties…”
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Reinforcement-Learning-Based Robust Controller Design for Continuous-Time Uncertain Nonlinear Systems Subject to Input Constraints Autor Liu, Derong, Yang, Xiong, Wang, Ding, Wei, Qinglai

“… In this paper, a novel RL-based robust adaptive control algorithm is developed for a class of continuous-time uncertain nonlinear systems subject to input constraints…”
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State estimation over lossy channel via online measurement coding: Algorithm design and performance optimization Autor He, Lidong, Wang, Xiaofan

“…Unpredictable packet loss that occurs in the channel connecting a local sensor and a remote estimator will deteriorate the performance of state estimation. To…”
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Evaluating the Decoding the Disciplines Paradigm From a Student Perspective in Teaching Algorithm Design Autor Yaqoob, Muhammad, Tayarani-Najaran, Mohammad-Hassan, Singh, Harpreet, Khan, Javed Ali, Mehmood, Tahir

“… Designing algorithms requires abstract thinking, problem solving, and solid mathematical backgrounds making algorithm design challenging…”
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Algorithm Design to Determine Possibility of Student Graduate Time in Student Grade Recapitulation Application Autor Winanti, Marliana Budhiningtias, Narimawati, Umi, Nadjamudin, Suwinarno, Rubedo, Hendar, Mauluddin, Syahrul

“…This study aims to create an algorithm model to determine the potential time for student graduation to be applied to the grade recapitulation information…”
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Transfer learning algorithm design for feature transfer problem in motor imagery brain-computer interface Autor Zhang, Yu, Li, Huaqing, Dong, Heng, Dai, Zheng, Chen, Xing, Li, Zhuoming

“…The non-stationary of the motor imagery electroencephalography(MI-EEG) signal is one of the main limitations for the development of motor imagery…”
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Duality Between Deep Learning and Algorithm Design Autor Chen, Xinshi

“…This thesis introduces “Duality Between Deep Learning And Algorithm Design”. Deep learning is a data-driven method, whereas conventional algorithm design is a knowledge-driven method…”
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Resilient Distributed Energy Management Subject to Unexpected Misbehaving Generation Units Autor Zeng, Wente, Zhang, Yuan, Chow, Mo-Yuen

“…Distributed energy management algorithms are being developed for the smart grid to efficiently and economically allocate electric power among connected…”
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Stability and Stabilization of Fractional-Order Linear Systems Subject to Input Saturation Autor Lim, Young-Hun, Oh, Kwang-Kyo, Ahn, Hyo-Sung

“…In this technical note, we provide a method for the asymptotic stabilization of fractional-order linear systems subject to input saturation…”
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Automated Field-of-View, Illumination, and Recognition Algorithm Design of a Vision System for Pick-and-Place Considering Colour Information in Illumination and Images Autor Chen, Yibing, Ogata, Taiki, Ueyama, Tsuyoshi, Takada, Toshiyuki, Ota, Jun

“…Machine vision is playing an increasingly important role in industrial applications, and the automated design of image recognition systems has been a subject of intense research…”
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Regularizing Common Spatial Patterns to Improve BCI Designs: Unified Theory and New Algorithms Autor Lotte, Fabien, Guan, Cuntai

“…), on electroencephalography data from 17 subjects…”
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Entropy-Rate Clustering: Cluster Analysis via Maximizing a Submodular Function Subject to a Matroid Constraint Autor Ming-Yu Liu, Tuzel, Oncel, Ramalingam, Srikumar, Chellappa, Rama

“…We propose a new objective function for clustering. This objective function consists of two components: the entropy rate of a random walk on a graph and a…”
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Constrained Consensus Algorithms With Fixed Step Size for Distributed Convex Optimization Over Multiagent Networks Autor Liu, Qingshan, Yang, Shaofu, Hong, Yiguang

“…In this technical note, we are concerned with constrained consensus algorithms for distributed convex optimization with a sum of convex objective functions subject to local bound and equality constraints…”
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Covering the Sensitive Subjects to Protect Personal Privacy in Personalized Recommendation Autor Wu, Zongda, Li, Guiling, Liu, Qi, Xu, Guandong, Chen, Enhong

“… In this paper, we propose to generate a group of fake preference profiles, so as to cover up the user sensitive subjects, and thus protect user personal privacy in personalized recommendation…”
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