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Revisiting the stop-and-stare algorithms for influence maximization

Keke Huang, Sibo Wang, Glenn Bevilacqua, Xiaokui Xiao, Laks V. S. Lakshmanan
2017 Proceedings of the VLDB Endowment  
Recent research has led to a number of scalable approximation algorithms for influence maximization, such as TIM + and IMM, and more recently, SSA and D-SSA.  ...  Overall, our study suggests that there exist opportunities for further scaling up influence maximization with approximation guarantees.  ...  To address this issue, they propose two new algorithms, the Stop-and-Stare algorithm (SSA) and the Dynamic Stop-and-Stare algorithm (D-SSA), both of which are similar in spirit to IMM but exploit the zero-one  ... 
doi:10.14778/3099622.3099623 fatcat:jt4gva44pna3ngndcndaogiaby

A Generalized Chirp-Scaling Algorithm for Geosynchronous Orbit SAR Staring Observations

Caipin Li, Mingyi He
2017 Sensors  
The important innovations of this algorithm are implementation of a fifth-order order slant range model and removal of azimuth aliasing for GEO SAR staring observations.  ...  To overcome this problem, this paper proposes an improved chirp-scaling algorithm that uses a fifth-order slant range model where considering the impact of the "stop and go" assumption to overcome the  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s17051058 pmid:28481272 pmcid:PMC5469663 fatcat:ctitbqkimfhf3muxqpirbzkzxu

VIP-Tree

Zhou Shao, Muhammad Aamir Cheema, David Taniar, Hua Lu
2016 Proceedings of the VLDB Endowment  
the Stop-and-Stare Algorithms for Influence Maximization ......................................... ..............................  ...  Qi Fan, Dongxiang Zhang, Huayu Wu, Kian-Lee Tan 313 TABLE OF CONTENTS OF Research PapersMapReduceand Streaming Algorithms for Diversity Maximization in Metric Spaces of Bounded Doubling Dimension  ... 
doi:10.14778/3025111.3025115 fatcat:2vi4x3dmlvfohndw5iw2xoibnq

Reactive Dubins traveling salesman problem for replanning of information gathering by UAVs

Robert Penicka, Martin Saska, Christophe Reymann, Simon Lacroix
2017 2017 European Conference on Mobile Robots (ECMR)  
The novel method is evaluated in a realistic outdoor robotic information gathering experiment with UAV for both the Dubins Traveling Salesman Problem and the Coverage Path Planning scenarios.  ...  and by utilizing the preplanned offline solution of the particular information gathering task.  ...  As new missed targets may come in at any moment, and due to the anytime nature of the VNS algorithm, we need to be able to decide when to stop the optimization and switch to the current best plan.  ... 
doi:10.1109/ecmr.2017.8098704 dblp:conf/ecmr/PenickaSRL17 fatcat:ivtujccqizgthkcvuo73ivtn5i

Resource Allocation in Heterogeneously-Distributed Joint Radar-Communications under Asynchronous Bayesian Tracking Framework

Linlong Wu, Kumar Vijay Mishra, M. R. Bhavani Shankar, Bjorn Ottersten
2022 IEEE Journal on Selected Areas in Communications  
By simultaneously allocating the available power, dwell time and shared bandwidth, we improve the MTT performance under a Bayesian tracking framework and guarantee the communications throughput.  ...  Optimal allocation of shared resources is key to deliver the promise of jointly operating radar and communications systems.  ...  With respect to the staring time t = 0 of a fusion interval, the initial and revisit time of these radars are provided in Table 6 Figure 5 . 65 Figure 5.  ... 
doi:10.1109/jsac.2022.3157371 fatcat:cg4xszlchbaqngt5zp2bxe6ymq

Resource Allocation in Heterogeneously-Distributed Joint Radar-Communications under Asynchronous Bayesian Tracking Framework [article]

Linlong Wu, Kumar Vijay Mishra, Bhavani Shankar M. R., Björn Ottersten
2022 arXiv   pre-print
By simultaneously allocating the available power, dwell time and shared bandwidth, we improve the MTT performance under a Bayesian tracking framework and guarantee the communications throughput.  ...  Optimal allocation of shared resources is key to deliver the promise of jointly operating radar and communications systems.  ...  The duration of a single fusion interval is T 0 = 10 s. With respect to the staring time t = 0 of a fusion interval, the initial and revisit time of these radars are provided in Table II .  ... 
arXiv:2108.10432v2 fatcat:z4qiic6lfzfndhazydeqzqku5q

Research Progress on Geosynchronous Synthetic Aperture Radar

Cheng Hu, Zhiyang Chen, Yuanhao Li, Xichao Dong, Stephen Hobbs
2021 Fundamental Research  
Acknowledgments This work was funded in part by the National Natural Science Foundation of China under Grant Nos. 61960206009 , 61971039 , and 61971037 , the Distinguished Young Scholars of Chongqing (  ...  Grant No. cstc2020jcyj -jqX0008 ), the National Ten Thousand Talents Program  ...  the coefficients for fitting the curve trajectory and the "stop-go" error, respectively. 0 is the range at = 0 under "stop-go " assumption, Δ 0 is the "stop-go " error at = 0 .  ... 
doi:10.1016/j.fmre.2021.04.008 fatcat:fzptg2j3anhpfo6vg7zekz6e5y

Scalable Spectral Algorithms for Community Detection in Directed Networks [article]

Sungmin Kim, Tao Shi
2013 arXiv   pre-print
The proposed algorithm shows great performance and scalability on benchmark networks in simulations and successfully recovers communities in real network applications.  ...  We propose harvesting algorithms, coupled with regularized SVDs, that are linearly scalable for efficient identification of communities in huge directed networks.  ...  The authors would like to thank Dr. Srinivasan Parthasarathy and Dr. Hanson Wang for helpful discussion.  ... 
arXiv:1211.6807v2 fatcat:cjgbuimucrathccw7xsal4gome

TAAC: Temporally Abstract Actor-Critic for Continuous Control [article]

Haonan Yu, Wei Xu, Haichao Zhang
2021 arXiv   pre-print
TAAC has two important features: a) persistent exploration, and b) a new compare-through Q operator for multi-step TD backup, specially tailored to the action repetition scenario.  ...  TAAC adds a second-stage binary policy to choose between the previous action and a new action output by an actor.  ...  Acknowledgements The authors would like to thank Jerry Bai and Le Zhao for helpful discussions on this project, and the Horizon AI platform team for infrastructure support.  ... 
arXiv:2104.06521v3 fatcat:7aj5ix6g4jdwng2vh62mszkhsa

Revisiting Self-Training for Neural Sequence Generation [article]

Junxian He, Jiatao Gu, Jiajun Shen, Marc'Aurelio Ranzato
2020 arXiv   pre-print
as a regularizer and forces the model to yield close predictions for similar unlabeled inputs.  ...  Self-training is one of the earliest and simplest semi-supervised methods.  ...  ACKNOWLEDGEMENTS We want to thank Peng-Jen Chen for helping set up the FloRes experiments, and Michael Auli, Kyunghyun Cho, and Graham Neubig for insightful discussion about this project.  ... 
arXiv:1909.13788v3 fatcat:z5tdatpyo5dznals4xjxnc4rf4

Micro-Doppler radar classification of humans and animals in an operational environment

W.D. van Eeden, J.P. de Villiers, R.J. Berndt, W.A.J. Nel, E. Blasch
2018 Expert systems with applications  
Results show that the classification accuracy of the model depends on the continuous observation time on target and ranges from 75% to approximately 90% for times on target between 250 ms to 1.25 s respectively  ...  Possible applications include border safeguarding and wildlife anti-poaching operations for species such as rhinos or elephants.  ...  The expectation maximization (EM) algorithm of Dempster is used to maximizes this likelihood (Dempster et al., 1977) .  ... 
doi:10.1016/j.eswa.2018.02.019 fatcat:wdew6w6g4feitdcxgxz3fvx2cy

The Geostationary Remote Infrared Pollution Sounder (GRIPS): measurement of the carbon gases from space

M. Schoeberl, R. Dickerson, B. T. Marshall, M. McHugh, C. Fish, H. Bloom, James J. Butler, Xiaoxiong (Jack) Xiong, Xingfa Gu
2013 Earth Observing Systems XVIII  
Second, the GFCR is capable of making quick measurements, unlike, for example, the FTIR that requires staring at the target. This makes the GFCR ideal for nadir-viewing applications.  ...  square shaped images defined by the field-stop.  ... 
doi:10.1117/12.2030907 fatcat:hk2zf3dne5herecpfm2o7olzaa

Text segmentation: A topic modeling perspective

Hemant Misra, François Yvon, Olivier Cappé, Joemon Jose
2011 Information Processing & Management  
The proposed modification to the DP algorithm is not specific to the topic models only; it is applicable to all the algorithms that use DP for the task of text segmentation.  ...  Based on an analysis of the dynamic programming (DP) algorithm typically used for segmentation, we suggest a modification to DP that dramatically speeds up the process with no loss in performance.  ...  Acknowledgments This research was partly supported by the European Commission under the Contracts FP6-027122-SALERO and FP7-231854-SYNC3.  ... 
doi:10.1016/j.ipm.2010.11.008 fatcat:tj7swmzke5cile3nervaj6ef2i

Investigations into Elasticity in Cloud Computing [article]

Rui Han
2015 arXiv   pre-print
Furthermore, we consider the characteristics of the algorithm for implementing the business logic of cloud applications, and investigate the elasticity at the algorithm level: when dealing with large-scale  ...  We propose a novel framework to guide the development of elastic algorithms that adapt to the available budget while guaranteeing the quality of output result, e.g. prediction accuracy for classification  ...  process, or accept the larger response time ( ) and stop the scaling up.  ... 
arXiv:1511.04651v1 fatcat:bnl767uzmfgm7dbv7nrj5k4bj4

WHAT DOES THE CHICAGO SCHOOL TEACH ABOUT INTERNET SEARCH AND THE ANTITRUST TREATMENT OF GOOGLE?

R. H. Bork, J. G. Sidak
2012 Journal of Competition Law & Economics  
Once Google's algorithm is public, nothing stops Google's competitors from free riding on Google's innovations.  ...  The degree of knowledge about a particular subject will thus influence Internet users' behavior. 21 Tasks also influence the method used to navigate the Internet.  ... 
doi:10.1093/joclec/nhs031 fatcat:kmtbih2lhnc6tg36a32bvkxjbe
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