Results 271 to 280 of about 24,126 (306)

Scalable Semi-Supervised Learning by Efficient Anchor Graph Regularization

open access: yesIEEE Transactions on Knowledge and Data Engineering, 2016
© 1989-2012 IEEE. Many graph-based semi-supervised learning methods for large datasets have been proposed to cope with the rapidly increasing size of data, such as Anchor Graph Regularization (AGR).
Meng Wang, Weijie Fu, Shijie Hao
exaly   +2 more sources

Regular factors of regular graphs

Journal of Graph Theory, 1985
AbstractGiven r ⩾ 3 and 1 ⩽ λ ⩽ r, we determine all values of k for which every r‐regular graph with edge‐connectivity λ has a k‐factor.
Béla Bollobás   +2 more
openaire   +2 more sources

Equimatchable Regular Graphs

Journal of Graph Theory, 2017
AbstractA graph is called equimatchable if all of its maximal matchings have the same size. Kawarabayashi, Plummer, and Saito showed that the only connected equimatchable 3‐regular graphs are K4 and K3, 3. We extend this result by showing that for an odd positive integer r, if G is a connected equimatchable r‐regular graph, then .
Saieed Akbari   +3 more
openaire   +1 more source

Graph Laplacian Regularization for Image Denoising: Analysis in the Continuous Domain

open access: yesIEEE Transactions on Image Processing, 2017
Inverse imaging problems are inherently underdetermined, and hence, it is important to employ appropriate image priors for regularization. One recent popular prior - the graph Laplacian regularizer - assumes that the target pixel patch is smooth with ...
Jiahao Pang, Gene Cheung
exaly   +2 more sources

Regular Graphs, Eigenvalues and Regular Factors

Journal of Graph Theory, 2011
AbstractIn this article, we obtain a sufficient condition for the existence of regular factors in a regular graph in terms of its third largest eigenvalue. We also determine all values of k such that every r‐regular graph with the third largest eigenvalue at most has a k‐factor.
openaire   +2 more sources

Regularity of vague graphs

Journal of Intelligent & Fuzzy Systems, 2016
A vague graph is a generalized structure of a fuzzy graph that gives more precision, flexibility and compatibility to a system when compared with systems that are designed using fuzzy graphs. In this paper, some properties of an edge regular vague graph are given.
Rajab Ali Borzooei   +3 more
openaire   +1 more source

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