Interactive Camera Network Design Using a Virtual Reality Interface
Sensors, 2019 The traditional literature on camera network design focuses on constructing automated algorithms. These require problem-specific input from experts in order to produce their output.
Boris Bogaerts +3 more
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Maximizing a Submodular Function with Bounded Curvature under an Unknown Knapsack Constraint [PDF]
, 2022 Max Klimm, Martin Knaack
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Non-monotone Submodular Maximization with Nearly Optimal Adaptivity and Query Complexity
, 2019 Submodular maximization is a general optimization problem with a wide range of applications in machine learning (e.g., active learning, clustering, and feature selection). In large-scale optimization, the parallel running time of an algorithm is governed
Fahrbach, Matthew +2 more
core
Simultaneous Approximation of Multi-criteria Submodular Function Maximization [PDF]
, 2014 Donglei Du +3 more
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Submodular functions in graph theory
Discrete Mathematics, 1993 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Submodular Functions and Valued Constraint Satisfaction Problems over\n Infinite Domains [PDF]
, 2018 Manuel Bodirsky +2 more
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Symmetric Submodular Functions, Uncrossable Functions, and Structural Submodularity
Diestel, et al. (see Order 35 (2017), JCT-A 167 (2019), arXiv:1805.01439) introduced the notion of abstract separation systems that satisfy a submodularity property, and they call this structural submodularity. Williamson, Goemans, Mihail, and Vazirani (Combinatorica 15 (1995)) call a family of sets $\mathcal{F}$ uncrossable if the following holds: for
Simmons, Miles +2 more
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Extended Deep Submodular Functions
Trans. Mach. Learn. Res.We introduce a novel category of set functions called Extended Deep Submodular functions (EDSFs), which are neural network-representable. EDSFs serve as an extension of Deep Submodular Functions (DSFs), inheriting crucial properties from DSFs while addressing innate limitations.
Seyed Mohammad Hosseini +4 more
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Minimizing submodular functions on diamonds via generalized fractional matroid matchings [PDF]
, 2022 Satoru Fujishige +4 more
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Exploiting submodular value functions for scaling up active perception [PDF]
, 2017 Yash Satsangi +3 more
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