OPAC

検索結果一覧に戻る

Graph-Based Representations in Pattern Recognition : 13th IAPR-TC-15 International Workshop, GbRPR 2023, Vietri sul Mare, Italy, September 6–8, 2023, Proceedings / edited by Mario Vento, Pasquale Foggia, Donatello Conte, Vincenzo Carletti
(Lecture Notes in Computer Science. ISSN:16113349 ; 14121)

データ種別	電子ブック
版	1st ed. 2023.
出版者	(Cham : Springer Nature Switzerland : Imprint: Springer)
出版年	2023
大きさ	XVI, 184 p. 33 illus., 27 illus. in color : online resource
著者標目	Vento, Mario editor Foggia, Pasquale editor Conte, Donatello editor Carletti, Vincenzo editor SpringerLink (Online service)

所蔵情報を非表示

URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0003231	Computer Scinece R0 2005-6,2022-3				9783031427954

書誌詳細を非表示

一般注記	Graph Kernels and Graph Algorithms -- Quadratic Kernel Learning for Interpolation Kernel Machine Based Graph Classification -- Minimum Spanning Set Selection in Graph Kernels -- Graph-based vs. Vector-based Classification: A Fair Comparison -- A Practical Algorithm for Max-Norm Optimal Binary Labeling of Graphs -- Efficient Entropy-based Graph Kernel -- Graph Neural Networks -- GNN-DES: A new end-to-end dynamic ensemble selection method based on multi-label graph neural network -- C2N-ABDP: Cluster-to-Node Attention-based Differentiable Pooling -- Splitting Structural and Semantic Knowledge in Graph Autoencoders for Graph Regression -- Graph Normalizing Flows to Pre-image Free Machine Learning for Regression -- Matching-Graphs for Building Classification Ensembles -- Maximal Independent Sets for Pooling in Graph Neural Networks -- Graph-based Representations and Applications -- Detecting Abnormal Communication Patterns in IoT Networks Using Graph Neural Networks -- Cell segmentation of in situ transcriptomics data using signed graph partitioning -- Graph-based representation for multi-image super-resolution -- Reducing the Computational Complexity of the Eccentricity Transform -- Graph-Based Deep Learning on the Swiss River Network This book constitutes the refereed proceedings of the 13th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2023, which took place in Vietri sul Mare, Italy, in September 2023. The 16 full papers included in this book were carefully reviewed and selected from 18 submissions. They were organized in topical sections on graph kernels and graph algorithms; graph neural networks; and graph-based representations and applications HTTP:URL=https://doi.org/10.1007/978-3-031-42795-4
件　名	LCSH:Pattern recognition systems LCSH:Computer science -- Mathematics 全ての件名で検索 LCSH:Discrete mathematics LCSH:Computer graphics LCSH:Algorithms LCSH:Artificial intelligence -- Data processing 全ての件名で検索 LCSH:Artificial intelligence FREE:Automated Pattern Recognition FREE:Discrete Mathematics in Computer Science FREE:Computer Graphics FREE:Algorithms FREE:Data Science FREE:Artificial Intelligence
分　類	LCC:Q337.5 LCC:TK7882.P3 DC23:006.4
書誌ID	EB00002619
ISBN	9783031427954