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Variational quantum algorithm for node embedding
Fundamental ResearchQuantum 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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GCMD: Genetic Correlation Multi-Domain Virtual Network Embedding Algorithm [PDF]
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 +5 more
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VNE-HPSO: Virtual Network Embedding Algorithm Based on Hybrid Particle Swarm Optimization
IEEE Access, 2020 Today, the 5G Internet era has arrived, and network virtualization technology has captured the attention of people. However, traditional single-domain virtual embedding technology generated huge overhead in embedding and caused a certain waste of ...
Peiying Zhang +3 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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Averaging on Manifolds by Embedding Algorithm [PDF]
Journal of Mathematical Imaging and Vision, 2013 We will propose a new algorithm for finding critical points of cost functions defined on a differential manifold. We will lift the initial cost function to a manifold that can be embedded in a Riemannian manifold (Euclidean space) and will construct a vector field defined on the ambient space whose restriction to the embedded manifold is the gradient ...
Petre Birtea +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 +4 more
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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.
Kian Kenyon-Dean +2 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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Local procrustes for manifold embedding: a measure of embedding quality and embedding algorithms [PDF]
Machine Learning, 2009 We present the Procrustes measure, a novel measure based on Procrustes rotation that enables quantitative comparison of the output of manifold-based embedding algorithms (such as LLE (Roweis and Saul, 2000) and Isomap (Tenenbaum et al, 2000)). The measure also serves as a natural tool when choosing dimension-reduction parameters.
Yair Goldberg, Yaacov Ritov
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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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