Results 31 to 40 of about 9,788 (160)
The ability to integrate information in the brain is considered to be an essential property for cognition and consciousness. Integrated Information Theory (IIT) hypothesizes that the amount of integrated information ( Φ ) in the brain is related to ...
Jun Kitazono +2 more
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Submodular optimization problems and greedy strategies: A survey [PDF]
The greedy strategy is an approximation algorithm to solve optimization problems arising in decision making with multiple actions. How good is the greedy strategy compared to the optimal solution? In this survey, we mainly consider two classes of optimization problems where the objective function is submodular. The first is set submodular optimization,
Yajing Liu +3 more
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Optimization of Submodularity and BBO-Based Routing Protocol for Wireless Sensor Deployment
Wireless sensors are limited by node costs, communication efficiency, and energy consumption when wireless sensors are deployed on a large scale. The use of submodular optimization can reduce the deployment cost.
Yaoli Wang +4 more
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Mobility-Aware Traffic Offloading via Cooperative Coded Edge Caching
With caching popular contents at the small-cell base stations (SBSs), cooperative edge caching has emerged as an effective approach to offload explosively increasing network traffic from a massive number of users in mobile edge networks (MENs).
Dewang Ren +3 more
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Multivariate Submodular Optimization
Submodular functions have found a wealth of new applications in data science and machine learning models in recent years. This has been coupled with many algorithmic advances in the area of submodular optimization: (SO) $\min/\max~f(S): S \in \mathcal{F}$, where $\mathcal{F}$ is a given family of feasible sets over a ground set $V$ and $f:2^V ...
Santiago, Richard, Shepherd, F. Bruce
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CrossPatch-Based Rolling Label Expansion for Dense Stereo Matching
We present a novel algorithm called crosspatch-based rolling label expansion for accurate stereo matching. This optimization-based approach can effectively estimate the 3D label of each pixel from huge and infinite label space and then generate a ...
Huaiyuan Xu +5 more
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Outbreak detection for temporal contact data
Epidemic spreading is a widely studied process due to its importance and possibly grave consequences for society. While the classical context of epidemic spreading refers to pathogens transmitted among humans or animals, it is straightforward to apply ...
Martin Sterchi +3 more
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Robust and Adaptive Sequential Submodular Optimization [PDF]
IEEE TAC ...
Vasileios Tzoumas +2 more
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Online dynamic submodular optimization
We propose new algorithms with provable performance for online binary optimization subject to general constraints and in dynamic settings. We consider the subset of problems in which the objective function is submodular. We propose the online submodular greedy algorithm (OSGA) which solves to optimality an approximation of the previous round loss ...
Lesage-Landry, Antoine, Pallage, Julien
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This paper aims to present an optimization method for the best bus selection (BBS) in the large‐scale power systems in order to send the input signals to the damping controllers.
Mohsen Darabian +2 more
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