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Record type:	stať ve sborníku (D)
Home Department:	Ústav pro výzkum a aplikace fuzzy modelování (94410)
Title:	Laplacian-Guided Keypoint Selection for Efficient FuzzyTransform Approximation in Bayesian Networks
Citace	Mrógala, J. a Perfiljeva, I. Laplacian-Guided Keypoint Selection for Efficient FuzzyTransform Approximation in Bayesian Networks. In: 14th Conference of the European Society for Fuzzy Logic and Technology: Book of Abstracts EUSFLAT 2025 2025-07-21 Riga. Riga: University of Latvia, 2025. s. 87-87. ISBN 978-9934-556-79-1.

Subtitle
Publication year:	2025
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Number of pages:	1
Page from:	87
Page to:	87
Form of publication:	Elektronická verze
ISBN code:	978-9934-556-79-1
ISSN code:
Proceedings title:	Book of Abstracts EUSFLAT 2025
Proceedings:	Mezinárodní
Publisher name:	University of Latvia
Place of publishing:	Riga
Country of Publication:	Sborník vydaný v zahraničí
Název konference:	14th Conference of the European Society for Fuzzy Logic and Technology
Conference venue:	Riga
Datum zahájení konference:
Typ akce podle státní příslušnosti účastníků:	Evropská akce
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Key words in English:	Fuzzy transform; Laplacian; Approximation; Bayesian networks
Annotation in original language:	This abstract presents a Laplacian-guided method for selecting optimal keypoints in fuzzy transform approximations, reducing computational complexity from O(n) to O(k) while preserving critical information for efficient Bayesian network training.
Annotation in english language:	This abstract presents a Laplacian-guided method for selecting optimal keypoints in fuzzy transform approximations, reducing computational complexity from O(n) to O(k) while preserving critical information for efficient Bayesian network training.

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