Suchergebnisse - "algorithm design and analysis"

Frequency Selective Hybrid Precoding for Limited Feedback Millimeter Wave Systems von Alkhateeb, Ahmed, Heath, Robert W.

“… Hybrid analog/digital precoding offers a compromise between hardware complexity and system performance in millimeter wave (mmWave) systems. This type of …”
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Object Tracking Benchmark von Wu, Yi, Lim, Jongwoo, Yang, Ming-Hsuan

“… Object tracking has been one of the most important and active research areas in the field of computer vision. A large number of tracking algorithms have been …”
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Sparse Activity Detection for Massive Connectivity von Chen, Zhilin, Sohrabi, Foad, Yu, Wei

“… This paper considers the massive connectivity application in which a large number of devices communicate with a base-station (BS) in a sporadic fashion. Device …”
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Optimal Multirobot Path Planning on Graphs: Complete Algorithms and Effective Heuristics von Jingjin Yu, LaValle, Steven M.

“… We study optimal multirobot path planning on graphs (MPP) over four minimization objectives: the makespan (last arrival time), the maximum (single-robot …”
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Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems von Alkhateeb, Ahmed, Leus, Geert, Heath, Robert W.

“… Antenna arrays will be an important ingredient in millimeter-wave (mmWave) cellular systems. A natural application of antenna arrays is simultaneous …”
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Distributed Nash Equilibrium Seeking by a Consensus Based Approach von Ye, Maojiao, Hu, Guoqiang

“… In this paper, Nash equilibrium seeking among a network of players is considered. Different from many existing works on Nash equilibrium seeking in …”
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Deblurring Images via Dark Channel Prior von Pan, Jinshan, Sun, Deqing, Pfister, Hanspeter, Yang, Ming-Hsuan

“… We present an effective blind image deblurring algorithm based on the dark channel prior. The motivation of this work is an interesting observation that the …”
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Classification with Noisy Labels by Importance Reweighting von Liu, Tongliang, Tao, Dacheng

“… In this paper, we study a classification problem in which sample labels are randomly corrupted. In this scenario, there is an unobservable sample with …”
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Fixed-Time Synchronization of Complex Networks With Impulsive Effects via Nonchattering Control von Yang, Xinsong, Lam, James, Ho, Daniel W. C., Feng, Zhiguo

“… Dealing with impulsive effects is one of the most challenging problems in the field of fixed-time control. In this paper, we solve this challenging problem by …”
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An Energy Efficient Ant Colony System for Virtual Machine Placement in Cloud Computing von Liu, Xiao-Fang, Zhan, Zhi-Hui, Deng, Jeremiah D., Li, Yun, Gu, Tianlong, Zhang, Jun

“… Virtual machine placement (VMP) and energy efficiency are significant topics in cloud computing research. In this paper, evolutionary computing is applied to …”
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Quality and Diversity Optimization: A Unifying Modular Framework von Cully, Antoine, Demiris, Yiannis

“… The optimization of functions to find the best solution according to one or several objectives has a central role in many engineering and research fields …”
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DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks von Moosavi-Dezfooli, Seyed-Mohsen, Fawzi, Alhussein, Frossard, Pascal

“… State-of-the-art deep neural networks have achieved impressive results on many image classification tasks. However, these same architectures have been shown to …”
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Speeding Up Distributed Machine Learning Using Codes von Lee, Kangwook, Lam, Maximilian, Pedarsani, Ramtin, Papailiopoulos, Dimitris, Ramchandran, Kannan

“… Codes are widely used in many engineering applications to offer robustness against noise . In large-scale systems, there are several types of noise that can …”
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Transmit Waveform/Receive Filter Design for MIMO Radar With Multiple Waveform Constraints von Wu, Linlong, Babu, Prabhu, Palomar, Daniel P.

“… In this paper, we consider the joint design of both transmit waveforms and receive filters for a colocated multiple-input-multiple-output (MIMO) radar with the …”
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Loihi: A Neuromorphic Manycore Processor with On-Chip Learning von Davies, Mike, Srinivasa, Narayan, Lin, Tsung-Han, Chinya, Gautham, Cao, Yongqiang, Choday, Sri Harsha, Dimou, Georgios, Joshi, Prasad, Imam, Nabil, Jain, Shweta, Liao, Yuyun, Lin, Chit-Kwan, Lines, Andrew, Liu, Ruokun, Mathaikutty, Deepak, McCoy, Steven, Paul, Arnab, Tse, Jonathan, Venkataramanan, Guruguhanathan, Weng, Yi-Hsin, Wild, Andreas, Yang, Yoonseok, Wang, Hong

“… Loihi is a 60-mm2 chip fabricated in Intels 14-nm process that advances the state-of-the-art modeling of spiking neural networks in silicon. It integrates a …”
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Dynamic Computation Offloading for Mobile-Edge Computing With Energy Harvesting Devices von Mao, Yuyi, Zhang, Jun, Letaief, Khaled B.

“… Mobile-edge computing (MEC) is an emerging paradigm to meet the ever-increasing computation demands from mobile applications. By offloading the computationally …”
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Fast Convergence Rates for Distributed Non-Bayesian Learning von Nedic, Angelia, Olshevsky, Alex, Uribe, Cesar A.

“… We consider the problem of distributed learning, where a network of agents collectively aim to agree on a hypothesis that best explains a set of distributed …”
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Convergence of Asynchronous Distributed Gradient Methods Over Stochastic Networks von Xu, Jinming, Zhu, Shanying, Soh, Yeng Chai, Xie, Lihua

“… We consider distributed optimization problems in which a number of agents are to seek the global optimum of a sum of cost functions through only local …”
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IGD Indicator-Based Evolutionary Algorithm for Many-Objective Optimization Problems von Sun, Yanan, Yen, Gary G., Yi, Zhang

“… Inverted generational distance (IGD) has been widely considered as a reliable performance indicator to concurrently quantify the convergence and diversity of …”
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A Computationally Efficient Motion Primitive for Quadrocopter Trajectory Generation von Mueller, Mark W., Hehn, Markus, D'Andrea, Raffaello

“… A method is presented for the rapid generation and feasibility verification of motion primitives for quadrocopters and similar multirotor vehicles. The motion …”
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