Suchergebnisse - Dual variational-autoencoder
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Autoren: et al.
Quelle: 2025 IEEE Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED). :1-7
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Autoren: et al.
Quelle: Signal processing. Image communication. 140
Schlagwörter: Light Field Compression, Variational Autoencoder, Disentanglement, Dual Hyperprior, Spatial-Angular Representation
Dateibeschreibung: electronic
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Autoren: et al.
Quelle: 2025 IEEE 8th International Electrical and Energy Conference (CIEEC). :887-892
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Autoren: et al.
Quelle: Data Science and Management, Vol 7, Iss 2, Pp 89-98 (2024)
Schlagwörter: Attributed networks autoencoder, Generative adversarial networks, Dual variational-autoencoder, Electronic computers. Computer science, Anomaly detection deep learning, 0502 economics and business, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, QA75.5-76.95, 02 engineering and technology
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Quelle: Front Pharmacol
Frontiers in Pharmacology, Vol 16 (2025) -
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Autoren: et al.
Quelle: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). :1383-1390
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Autoren: et al.
Quelle: 2024 International Conference on New Trends in Computational Intelligence (NTCI). :172-177
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Quelle: Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence. :9068-9076
Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Quantitative Biology - Biomolecules, Computer Science - Artificial Intelligence, FOS: Biological sciences, Biomolecules (q-bio.BM), Machine Learning (cs.LG)
Zugangs-URL: http://arxiv.org/abs/2506.02051
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Quelle: Proceedings of the 2024 6th International Conference on Big-data Service and Intelligent Computation. :78-85
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Quelle: Physica A: Statistical Mechanics and its Applications. 679:131008
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Autoren: et al.
Quelle: IEEE Access, Vol 10, Pp 91160-91176 (2022)
Schlagwörter: Artificial intelligence, Outlier Detection, Computer Networks and Communications, Structural engineering, Anomaly detection, Node (physics), 02 engineering and technology, attributed networks, Quantum mechanics, Anomaly Detection in High-Dimensional Data, Engineering, Theoretical computer science, dual variational autoencoder, Inference, Artificial Intelligence, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Data mining, Physics, Feature learning, deep learning, Deep learning, Optics, Autoencoder, Security Challenges in Smart Grid Systems, Focus (optics), Computer science, TK1-9971, Intrusion Detection, Subspace topology, Gaussian mixture model, Control and Systems Engineering, Attack Detection, Computer Science, Physical Sciences, Gaussian, Network Intrusion Detection and Defense Mechanisms, Anomaly Detection, Electrical engineering. Electronics. Nuclear engineering, Botnet Detection, graph convolution network
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Autoren: et al.
Quelle: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 17780-17793 (2024)
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Autoren: et al.
Quelle: Pattern Analysis and Applications. 28
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Quelle: IEEE/ACM Transactions on Audio, Speech, and Language Processing. 32:1968-1979
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Autoren: et al.
Quelle: IEEE Transactions on Multimedia. 26:5872-5883
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Autoren: et al.
Quelle: ACM Transactions on Multimedia Computing, Communications, and Applications. 20:1-16
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Quelle: IEEE Transactions on Neural Networks and Learning Systems. 34:6303-6312
Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/34941534
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Autoren: et al.
Quelle: Engineering Applications of Artificial Intelligence. 151:110735
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Autoren: et al.
Quelle: Proceedings of the 2024 SIAM International Conference on Data Mining (SDM) ISBN: 9781611978032
Schlagwörter: Computer Science - Information Retrieval
Zugangs-URL: http://arxiv.org/abs/2401.04914
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