Results 191 to 200 of about 13,098 (239)

A new band selection approach integrated with physical reflectance autoencoders and albedo recovery for hyperspectral image classification. [PDF]

Sci Rep
Sangeetha V, Agilandeeswari L.
europepmc   +1 more source

Subset selection based fusion for biomedical information retrieval tasks. [PDF]

BMC Bioinformatics
Sun J, Wu S, Shen X, Nugent C, Lu H.
europepmc   +1 more source

Multi-objective spatial optimization of forest fire monitoring networks: An integrated GIS-MCDM framework enhanced by improved genetic algorithms. [PDF]

PLoS One
Wang L, Feng J, Mao J, Zhang Y, An J.
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Submodular functions

, 2015
Husić, Edin
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Maximizing a <inline-formula><tex-math id="M1">$ k $</tex-math></inline-formula>-submodular function with <inline-formula><tex-math id="M2">$ p $</tex-math></inline-formula>-system constraints

Hanlu Ye, Min Li, Yang Zhou, Qian Liu
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Monotone Comparative Statics for Submodular Functions,  with an Application to Aggregated Deferred Acceptance

Alfred Galichon, Yu‐Wei Hsieh, Maxime Sylvestre   +2 more
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Symmetric Submodular Functions, Uncrossable Functions, and Structural Submodularity [PDF]

Miles Simmons, Ishan Bansal, Joe Cheriyan   +2 more
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Submodular Functions and Rooted Trees

Theory of Computing Systems, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yaokun Wu, Yinfeng Zhu
openaire   +1 more source

Maximizing Non-Monotone Submodular Functions

48th Annual IEEE Symposium on Foundations of Computer Science (FOCS'07), 2007
Submodular maximization generalizes many important problems including Max Cut in directed and undirected graphs and hypergraphs, certain constraint satisfaction problems, and maximum facility location problems. Unlike the problem of minimizing submodular functions, the problem of maximizing submodular functions is NP-hard.
Uriel Feige, Vahab S. Mirrokni, Jan Vondrák   +2 more
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