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Variational quantum algorithm for node embedding

Fundamental Research
Quantum machine learning has made remarkable progress in many important tasks. However, the gate complexity of the initial state preparation is seldom considered in lots of quantum machine learning algorithms, making them non-end-to-end.
Zeng-rong Zhou, Hang Li, Gui-Lu Long
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Quantum algorithm for neighborhood preserving embedding [PDF]

Chinese Physics B, 2022
Neighborhood preserving embedding (NPE) is an important linear dimensionality reduction technique that aims at preserving the local manifold structure. NPE contains three steps, i.e., finding the nearest neighbors of each data point, constructing the weight matrix, and obtaining the transformation matrix. Liang et al.
Pan, Shi-Jie, Wan, Lin-Chun, Liu, Hai-Ling, Wu, Yu-Sen, Qin, Su-Juan, Wen, Qiao-Yan, Gao, Fei   +6 more
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Monitoring the invariability of medical images during transmission over communication channels

Офтальмохирургия, 2022
Relevance. Modern methods of ophthalmic medical examinations, for example, ultrasound biomicroscopy, optical coherence tomography, axial MR tomography, and so on, allow you to save results, medical images in electronic form.
E.Yu. Gerling, K.A. Akhrameeva
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Deconstructing word embedding algorithms [PDF]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Word embeddings are reliable feature representations of words used to obtain high quality results for various NLP applications. Uncontextualized word embeddings are used in many NLP tasks today, especially in resource-limited settings where high memory capacity and GPUs are not available.
Kenyon-Dean, Kian, Newell, Edward, Cheung, Jackie Chi Kit   +2 more
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ECSS: High-Embedding-Capacity Audio Watermarking with Diversity Reception

Entropy, 2022
Digital audio watermarking is a promising technology for copyright protection, yet its low embedding capacity remains a challenge for widespread applications. In this paper, the spread-spectrum watermarking algorithm is viewed as a communication channel,
Shiqiang Wu, Ying Huang, Hu Guan, Shuwu Zhang, Jie Liu   +4 more
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Enercy Efficient Virtual Network Embedding in Data Center Optical Networks

Guangtongxin yanjiu, 2022
To solve the energy consumption problem in Data Center Optical Networks (DCONs), an Energy Efficient Embedding algorithm based on Matching Network Resources (3E-MNR) scheme is proposed.
Jia-qi NIE
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GCMD: Genetic Correlation Multi-Domain Virtual Network Embedding Algorithm

IEEE Access, 2021
With the increase of network scale and the complexity of network structure, the problems of traditional Internet have emerged. At the same time, the appearance of network function virtualization (NFV) and network virtualization technologies has largely ...
Peiying Zhang, Xue Pang, Godfrey Kibalya, Neeraj Kumar, Shuqing He, Bin Zhao   +5 more
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High Capacity Reversible Data Hiding Algorithm for Audio Files Based on Code Division Multiplexing [PDF]

Jisuanji kexue, 2021
Aiming at the problem of small embedding capacity and low security of reversible data hiding algorithm for audio files,a reversible data hiding(RDH) algorithm for audio files based on code division multiplexing(CDM) is proposed in this paper.The ...
MA Bin, HOU Jin-cheng, WANG Chun-peng, LI Jian, SHI Yun-qing
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Spectral Nonlinearly Embedded Clustering Algorithm [PDF]

Mathematical Problems in Engineering, 2016
As is well known, traditional spectral clustering (SC) methods are developed based on themanifold assumption, namely, that two nearby data points in the high-density region of a low-dimensional data manifold have the same cluster label. But, for some high-dimensional and sparse data, such an assumption might be invalid.
Liu, Mingming, Liu, Bing, Zhang, Chen, Sun, Wei   +3 more
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Four-round Embedding Reversible Information Hiding Algorithm Based on Median Prediction [PDF]

Jisuanji gongcheng, 2022
Traditional reversible information hiding algorithms based on prediction-error histogram translation primarily use a fixed scanning sequence to scan the original image for data embedding.This method does not consider the texture information of the image ...
REN Fang, XUE Feiyuan, YAO Xuemei
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