搜索结果: 1-15 共查到“理学 graph”相关记录135条 . 查询时间(0.095 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Generalization of Graph Neural Networks and Graph Structural Learning for Robust Representation
图神经网络 泛化 图结构学习 鲁棒表示
2023/4/18
This report consists of two parts associated with graph neural networks: generalization and graph structural learning. We first study the Rademacher complexity of GNNs, as one of independent-algorithm...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：A diffusion scheme based on the foliation graph stripe for optimizing discrete harmonic foliation energy
叶子图条带 优化 离散谐波 叶能量 扩散方案
2023/4/28
Consumer expenditures in the United Kingdom account for over 50% of Gross Domestic Product on the expenditure side, yet their impact on economic activity is often Global geometric structures live on m...
Chemical engineers and materials scientists are constantly looking for the next revolutionary material, chemical, and drug. The rise of machine-learning approaches is expediting the discovery process,...
中国地质大学科学技术发展院 李正来，唐厂 等，计算机学院. IEEE T-MM (2021), Consensus Graph Learning for Multi-view Clustering（图）
噪声；冗余信息；捕获；数据；相似性；干扰
2021/10/14
2021年5月21日，《IEEE Transactions on Multimedia》正式刊发了国地质大学计算机学院与国防科技大学、深圳大学以及国家超算济南中心等单位合作完成的研究成果—Consensus Graph Learning for Multi-view Clustering（基于一致图学习的多视图聚类算法），论文的第一作者为中国地质大学计算机学院硕士研究生李正来，通讯作者为唐厂教授。
鲁东大学运筹学课件 Lecture-Graph Theory。
COUPLE GRAPH BASED LABEL PROPAGATION METHOD FOR HYPERSPECTRAL REMOTE SENSING DATA CLASSIFICATION
Graph Label Propagation Semi-Supervised method Classification Hyperspectral Remote Sensing
2018/5/15
Graph based semi-supervised classification method are widely used for hyperspectral image classification. We present a couple graph based label propagation method, which contains both the adjacency gr...
三亚国际数学论坛：图与网络对称性（International Workshop on Symmetries of Graph and Networks）
三亚国际数学论坛 图与网络对称性
2018/1/11
Nowadays, graph symmetries are becoming a very important and rapidly growing area of study, and often looked at closely by computer scientists and other network designers. One significant instance of ...
Nowadays, graph symmetries are becoming a very important and rapidly growing area of study, and often looked at closely by computer scientists and other network designers. One significant instance of ...
三亚国际数学论坛：Structural Graph Theory and Discrete Optimization
三亚国际数学论坛 Structural Graph Theory Discrete Optimization
2017/1/11
Graph theory and discrete optimization are fundamental subjects in the fields of information theory, data analysis, network study and communication, and they have been applied widely in information te...
Noninvasive assessment of extracellular and intracellular dehydration in healthy humans using the resistance-reactance–score graph method
volume depletion hydration assessment BIVA hypohydration hypovolemia
2018/11/28
Background: Few dehydration assessment measures provide accurate information; most are based on reference change values and very few are diagnostically accurate from a single observation or measure. B...
PARALLEL CHIP-FIRING ON THE COMPLETE GRAPH;DEVIL’S STAIRCASE AND POINCARE ROTATION NUMBER
PARALLEL CHIP-FIRING COMPLETE GRAPH DEVIL’S STAIRCASE POINCARE ROTATION NUMBER
2015/8/14
We study how parallel chip-firing on the complete graph Kn changes behavior as we vary the total number of chips. Surprisingly,the activity of the system, defined as the average number of firings per ...
Fastest mixing Markov chain on a graph
Markov chains second largest eigenvalue modulus fast mixing semidefinite programming subgradient method
2015/8/11
We consider a symmetric random walk on a connected graph, where each edge is labeled with the probability of transition between the two adjacent vertices. The associated Markov chain has a uniform equ...
Convex optimization of graph Laplacian eigenvalues
Graph theory Laplacian matrix Convex optimization Semidefinite pro-gramming Markov chain Distributed averaging Effective resistance
2015/8/10
We consider the problem of choosing the edge weights of an undirected graph so as to maximize or minimize some function of the eigenvalues of the associated Laplacian matrix, subject to some constrain...
Graph implementations for nonsmooth convex programs
Convex optimization nonsmooth optimization disciplined convex pro- gramming optimization modeling languages semidefinite programming second-order cone programming conic optimization nondifferentiable functions.
2015/8/10
We describe graph implementations, a generic method for representing a convex function via its epigraph, described in a disciplined convex programming framework. This simple and natural idea allows a ...
This paper studies the formation of risk-sharing networks through costly social
investments, identifying endogenous inequality and a misallocation of resources as possible
downsides to such agreemen...