Results 1 to 10 of about 117,202 (119)
Attributed Network Embedding Based on Matrix Factorization and Community Detection [PDF]
Jisuanji kexue, 2021 An attributed network contains not only the complex topological structure but also the nodes with rich attribute information.It can be used to more effectively model modern information systems than traditional networks.Community detection of the ...
XU Xin-li, XIAO Yun-yue, LONG Hai-xia, YANG Xu-hua, MAO Jian-fei
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Reduced Order Modeling with Skew-Radial Basis Functions for Time Series Prediction
Engineering Proceedings, 2023 We present a sparsity-promoting RBF algorithm for time-series prediction. We use a time-delayed embedding framework and model the function from the embedding space to predict the next point in the time series.
Manuchehr Aminian, Michael Kirby
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Uniform graph embedding into metric spaces [PDF]
Компьютерные исследования и моделирование, 2012 The task of embedding an infinity countable graph into continuous metric space is considered. The concept of uniform embedding having no accumulation point in a set of vertex images and having all graph edge images of a limited length is introduced ...
A. V. Koganov
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Query-by-Example with Acoustic Word Embeddings Using wav2vec Pretraining [PDF]
Jisuanji kexue, 2022 Query-by-Example is a popular keyword detection method in the absence of speech resources.It can build a keyword query system with excellent performance when there are few labeled voice resources and a lack of pronunciation dictionaries.In recent years ...
LI Zhao-qi, LI Ta
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ISPRS International Journal of Geo-Information, 2022 Traditional frequency-domain watermarking algorithms for vector geographic data suffer from disadvantages such as the random watermark embedding position, unpredictable embedding strength, and difficulty in resisting multiple attacks at the same time. To
Chengyi Qu, Xu Xi, Jinglong Du, Tong Wu
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TR-Net: A Transformer-Based Neural Network for Point Cloud Processing
Machines, 2022 Point cloud is a versatile geometric representation that could be applied in computer vision tasks. On account of the disorder of point cloud, it is challenging to design a deep neural network used in point cloud analysis.
Luyao Liu, Enqing Chen, Yingqiang Ding
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Learning GPS Point Representations to Detect Anomalous Bus Trajectories
IEEE Access, 2020 Discovering anomalous bus trajectories can benefit transportation agencies to improve their services by helping them to deal with unexpected events such as detours or accidents.
Michael Cruz, Luciano Barbosa
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-shaped point set embeddings of high-degree plane graphs
AKCE International Journal of Graphs and Combinatorics, 2020 A point set embedding of a given plane graph on a given point set on a plane is a drawing of where each vertex is drawn on a point in . An orthogonal point set embedding of a plane graph is a point set embedding of such that each edge is drawn as a ...
Shaheena Sultana, Md. Saidur Rahman
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Applied Sciences, 2020 In the scenarios of location-based social networks (LBSN), the goal of location promotion is to find information propagators to promote a specific point-of-interest (POI).
Yi-Chun Chen, Cheng-Te Li
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Mathematics, 2021 The extended dynamic mode decomposition algorithm is a tool for accurately approximating the point spectrum of the Koopman operator. This algorithm provides an approximate linear expansion of non-linear discrete-time systems, which can be useful for ...
Camilo Garcia-Tenorio +3 more
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