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Better Inference with Graph Regularization
Improved storage, sensing, and automated data collection technology has resulted in a world full of data that are noisy, incomplete, high-dimensional, and of astronomical size.This abundance of data motivates data-driven approaches to signal processing ...
Harlin Lee (4930525)
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Abnormal Electricity Behavior Recognition of Graph Regularization Nonlinear Ridge Regression Model [PDF]
For the detection of abnormal electricity behavior by users,power companies usually adopt manual inspection methods,however,this method requires a lot of manpower and material resources,and is influened by subjective factors.Therefore,an abnormal ...
ZHANG Xiaofei,GENG Juncheng,SUN Yubao
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Abstract In this article regular graphs, both directed and undirected, are formalized in the Mizar system [7], [2], based on the formalization of graphs as described in [10]. The handshaking lemma is also proven.
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Independent Distribution Regularization for Private Graph Embedding
Learning graph embeddings is a crucial task in graph mining tasks. An effective graph embedding model can learn low-dimensional representations from graph-structured data for data publishing benefiting various downstream applications such as node ...
Song, Yangqiu, Hu, Qi
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Regular Partitions of Regular Graphs [PDF]
In the study of the combinatorial structure of edge-graphs of convex polytopes one may ask whether a given graph possesses a partition consisting of certain kinds of subgraphs.In this paper we describe some special partitions of 3-valent and 4-valent graphs.
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20 pages, 6 ...
Primoz Potocnik, Janos Vidali
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A graph G=(V,E) is called a unit-distance graph in the plane if there is an injective embedding of V in the plane such that every pair of adjacent vertices are at unit distance apart. If additionally the corresponding edges are non-crossing and all vertices have the same degree r we talk of a regular matchstick graph.
Sascha Kurz, Rom Pinchasi
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NONNEGATIVE matrix factorization (NMF) is an effective technique for dimensionality reduction of high-dimensional data for tasks such as machine learning and data visualization.
Jie Li, Yaotang Li, Chaoqian Li
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Nim-Regularity of Graphs [PDF]
Ehrenborg and Steingrímsson defined simplicial Nim, and defined Nim-regular complexes to be simplicial complexes for which simplicial Nim has a particular type of winning strategy. We completely characterize the Nim-regular graphs by the exclusion of two vertex-induced subgraphs, the graph on three vertices with one edge and the graph on five ...
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Due to the great benefit of rich spectral information, hyperspectral images (HSIs) have been successfully applied in many fields. However, some problems of concern also limit their further applications, such as high dimension and expensive labeling.
Lei Pan +5 more
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