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Comprehensive evaluation of EEG spatial sampling, head modelling and parcellation effects on network alterations in idiopathic generalized epilepsy. [PDF]

Brain Commun
Stier C, Loose M, Loew C, Segovia-Oropeza M, Baek S, Lerche H, Focke NKN.   +6 more
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Generalized open sets in generalized topologies

Acta Mathematica Hungarica, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Note on generalized open sets

Acta Mathematica Hungarica, 2007
Characterizations of γ-open sets and locally γ-regular sets are given. We generalize some already established results and answer an open question by giving a characterization to γ-quasi-open sets.
P. Sivagami, D. Sivaraj
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On Generalized Open Sets

Hacettepe Journal of Mathematics and Statistics, 2016
Summary: We introduce and explore generalized open sets namely \(\gamma\)-pre-open and \(\gamma\)-b-open sets in topological spaces. We also explore and investigate the properties and characterizations of \(\gamma\)-b-continuous function, \(\gamma\)-b-irresolute function and \(\gamma\)-b-open(closed) functions.
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Generalized Open Sets

Acta Mathematica Hungarica, 1997
Various kinds of generalized open sets are studied together in this article. The author considers monotone mappings \(\gamma:\exp X\to \exp X\) (monotone in the sense that \(A\subset B\) implies \(\gamma(a)\subset \gamma(B)\)), and develops properties common to several classes of generalized open sets.
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Classifications of generalized index sets of open classes

Journal of Symbolic Logic, 1978
The Rice-Shapiro Theorem [4] says that the index set of a class of recursively enumerable (r.e.) sets is r.e. if and only if consists of all sets which extend an element of a canonically enumerable sequence of finite sets. If an index of a difference of r.e. (d.r.e.) sets is defined to be the pair of indices of the r.e.
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Learning to Generate the Unknowns as a Remedy to the Open-Set Domain Shift

2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022
In many situations, the data one has access to at test time follows a different distribution from the training data. Over the years, this problem has been tackled by closed-set domain adaptation techniques. Recently, open-set domain adaptation has emerged to address the more realistic scenario where additional unknown classes are present in the target ...
Mahsa Baktashmotlagh, Tianle Chen, Mathieu Salzmann   +2 more
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Generative-Discriminative Feature Representations for Open-Set Recognition

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
We address the problem of open-set recognition, where the goal is to determine if a given sample belongs to one of the classes used for training a model (known classes). The main challenge in open-set recognition is to disentangle open-set samples that produce high class activations from known-set samples.
Pramuditha Perera, Vlad I. Morariu, Rajiv Jain, Varun Manjunatha, Curtis Wigington, Vicente Ordonez, Vishal M. Patel   +6 more
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