Results 41 to 50 of about 666,730 (159)
Journal of Electrical and Computer Engineering, 2019 This paper presents a novel Markov random field (MRF) and adaptive regularization embedded level set model for robust image segmentation and uses graph cuts optimization to numerically solve it.
Dengwei Wang
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Scientific ReportsCommunity detection in dynamic networks has become an interesting and popular research direction in recent years, widely used in electronic commerce, social media, and other fields.
Wei Yu +6 more
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CoRRWe study graphs that are simultaneously regular with respect to the ordinary vertex degree and regular with respect to the triangle degree, that is, the number of triangles containing a given vertex. We call such graphs regular $K_3$-regular. We investigate the (non-)existence of regular $K_3$-regular graphs with prescribed parameters $(r_2,r_3 ...
Artem Hak +3 more
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A sequential regularization method for time-dependent incompressible Navier--Stokes equations [PDF]
, 1997 The objective of the paper is to present a method, called the sequential regularization method (SRM), for the nonstationary incompressible Navier--Stokes equations from the viewpoint of regularization of differential-algebraic equations (DAEs), and to ...
Lin, Ping
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Double regularized matrix factorization for image classification and clustering
EURASIP Journal on Image and Video Processing, 2018 Feature selection, which aims to select an optimal feature subset to avoid the “curse of dimensionality,” is an important research topic in many real-world applications.
Wei Zhou +4 more
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发电技术ObjectivesIn order to solve the problems of low efficiency of fault feature extraction, inaccurate feature representation, and difficulty in adapting existing methods to complex signal requirements in wind turbine bearing fault diagnosis, a fault ...
LIU Zhan +3 more
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Molecular Therapy: Nucleic Acids, 2019 Precision medicine has become a novel and rising concept, which depends much on the identification of individual genomic signatures for different patients.
Na-Na Guan +5 more
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IEEE AccessGraph Neural Networks have emerged as powerful tools for analyzing graph-structured data. However, their performance often varies across datasets due to challenges such as noisy edges, sparse connectivity, and over-smoothing in deep layers.
Vinay Santhosh Chitla +3 more
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Semantic Consistency Cross-Modal Retrieval With Semi-Supervised Graph Regularization
IEEE Access, 2020 Most of the existing cross-modal retrieval methods make use of labeled data to learn projection matrices for different modal data. These methods usually learn the original semantic space to bridge the heterogeneous gap, ignoring the rich semantic ...
Gongwen Xu, Xiaomei Li, Zhijun Zhang
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The Electronic Journal of Combinatorics, 2016 This is a survey of distance-regular graphs. We present an introduction to distance-regular graphs for the reader who is unfamiliar with the subject, and then give an overview of some developments in the area of distance-regular graphs since the monograph 'BCN' [Brouwer, A.E., Cohen, A.M., Neumaier, A., Distance-Regular Graphs, Springer-Verlag, Berlin,
Edwin R. van Dam +2 more
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