Results 71 to 80 of about 335,663 (179)
Non-Negative Low Rank Graph Embedding Algorithm
Jisuanji kexue yu tansuo, 2020 The existing non-negative matrix factorization (NMF) algorithms still have some shortcomings. On one hand, the NMF method calculates its low-dimensional representation directly on the high-dimensional original image data set, but in fact the effective ...
LIU Guoqing, LU Guifu, ZHOU Sheng, XUAN Dongdong, CAO Along
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Link-first based quick coordinated virtual network embedding algorithm
Tongxin xuebao, 2015 In order to reduce costs of link embedding and increase revenue, a coordinated embedding algorithm based on link-first is proposed. The algorithm embeds link and node alternately, and embeds the virtual link that with greater band-width requirement first
Wen-cheng XIONG +3 more
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Time-Scale Invariant Audio Data Embedding
EURASIP Journal on Advances in Signal Processing, 2003 We propose a novel algorithm for high-quality data embedding in audio. The algorithm is based on changing the relative length of the middle segment between two successive maximum and minimum peaks to embed data.
Mansour Mohamed F, Tewfik Ahmed H
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Virtual Network Embedding Based on Topology Potential
Entropy, 2018 To improve the low acceptance ratio and revenue to cost ratio caused by the poor match between the virtual nodes and the physical nodes in the existing virtual network embedding (VNE) algorithms, we established a multi-objective optimization integer ...
Xinbo Liu, Buhong Wang, Zhixian Yang
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DVNE-DRL: dynamic virtual network embedding algorithm based on deep reinforcement learning. [PDF]
Sci Rep, 2023 Xiao X.
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A Novel Temporal Network-Embedding Algorithm for Link Prediction in Dynamic Networks. [PDF]
Entropy (Basel), 2023 Abbas K +5 more
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PGAGP: Predicting pathogenic genes based on adaptive network embedding algorithm. [PDF]
Front Genet, 2022 Zhang Y, Xiang J, Tang L, Yang J, Li J.
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Jixie qiangdu, 2022 Most of the existing local linear embedding algorithms assume that the original data set is located in Euclidean space, but in reality almost all the original space is non-Euclidean space.
LIU QingQiang +4 more
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A feasible k-means kernel trick under non-Euclidean feature space
International Journal of Applied Mathematics and Computer Science, 2020 This paper poses the question of whether or not the usage of the kernel trick is justified. We investigate it for the special case of its usage in the kernel k-means algorithm.
Kłopotek Robert +2 more
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Design and Application of Deep Hash Embedding Algorithm with Fusion Entity Attribute Information. [PDF]
Entropy (Basel), 2023 Huang X, Chen H, Zhang Z.
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