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We study the problem of designing efficient network sequentially. In each period, the planner connects two unlinked agents in the network formed in previous periods, then the agents play a game with l...
This paper addresses the task of semantic segmentation of orthoimagery using multimodal data e.g. optical RGB, infrared and digital surface model. We propose a deep convolutional neural network archit...
Accurate predictions of the characteristics of urban streets in particular with respect to the typical traffic situations are crucial for numerous real world applications such as navigation, schedulin...
Software-Defined Networks (SDN), Network Function Virtualization (NFV) and Cloud-Edge-Fog Computing are key ingredients of an overall techno-economic transformation trend, which is impacting deeply Te...
The ANLN Workshop will be held again at ICC 2017 in Paris. Workshop date will be Thursday, May 25, 2017. Further details will be announced soon. The first call for papers has been issued (Sept. 2016)
WEB-BASED NETWORK SAMPLING: EFFICIENCY AND EFFICACY OF RESPONDENT-DRIVEN SAMPLING FOR ONLINE RESEARCH.
A private network of 133 Global Navigation Satellite Systems (GNSS) permanent sites, named ItalPoS (Italian Positioning Service) and uniformly covering the entire Italian territory, was established in...
In this paper, we provide an improved lower bound on the rate achieved by noisy network coding in arbitrary Gaussian relay networks, whose gap to the cutset upper bound depends on the network not only...
Noisy network coding unifies network coding by Ahlswede, Cai, Li, and Yeung for noiseless networks and compress–forward by Cover and El Gamal for noisy relay channels.
Noisy Network Coding     Noisy Network       2015/8/17
A noisy network coding scheme for sending multiple sources over a general noisy network is presented. For multi-source multicast networks, the scheme naturally extends both network coding over noisele...
We describe a specialized truncated Newton primal-dual interior-point method that solves large scale network utility maximization problems, with concave utility functions, efficiently and reliably. Ou...
We consider a multi-period variation of the network utility maximization problem that includes delivery constraints. We allow the flow utilities, link capacities and routing matrices to vary over time...
While social closeness mitigates contractual incompleteness, we examine how communities can enlist third parties to improve cooperation between socially distant pairs. Network-central members may be...
We use unique data from 600 Indonesian communities on what individuals know about the poverty status of others to study how network structure influences information aggregation. We develop a m...
We consider the problem of finding an optimal feedback controller for a networked Markov decision process. Specifically, we consider a network of interconnected subsystems, where each subsystem evolve...

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