Suchergebnisse - "computational complexity reduction"
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Autoren:
Quelle: 2024 Sensor Data Fusion: Trends, Solutions, Applications (SDF). :1-8
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Autoren: Zhengmao Ye
Quelle: 2024 21st International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE). :1-5
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Autoren:
Quelle: 2024 103rd ARFTG Microwave Measurement Conference (ARFTG). :1-4
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Optimal Scalogram for Computational Complexity Reduction in Acoustic Recognition Using Deep Learning
Autoren: et al.
Schlagwörter: Signal Processing (eess.SP), FOS: Computer and information sciences, Sound (cs.SD), Sound, Audio and Speech Processing (eess.AS), Signal Processing, FOS: Electrical engineering, electronic engineering, information engineering, Audio and Speech Processing
Zugangs-URL: http://arxiv.org/abs/2505.13017
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Quelle: 2023 IEEE International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings). :1-6
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Autoren: et al.
Quelle: Journal of Japan Society for Fuzzy Theory and Intelligent Informatics. 35:506-510
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Autoren: Correa, Guilherme
Quelle: CORRÊA, Guilherme Ribeiro - Computational complexity reduction and scaling for high efficiency video encoders. Coimbra : [s.n.], 2014. Tese de doutoramento. Disponível na Internet em: http://hdl.handle.net/10316/26633
Schlagwörter: High efficiency video coding (HEVC), Estruturas de particionamento, Decisão de modo de codificação, Árvores de decisão, Complexidade computacional, Redução de complexidade, Escalonamento de complexidade
Verfügbarkeit: https://hdl.handle.net/10316/26633
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Autoren: et al.
Quelle: International Journal of Telecommunications. :1-10
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Autoren: et al.
Weitere Verfasser: et al.
Schlagwörter: Image Coding, Pattern Matching, Data Compression
Dateibeschreibung: application/pdf
Relation: 978-1-4244-7486-8
Verfügbarkeit: http://hdl.handle.net/10400.8/14753
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Autoren:
Quelle: ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY. 6:16-27
Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
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Autoren:
Quelle: Annals of Telecommunications. 75:185-191
Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy
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Autoren: et al.
Quelle: 2019 International Conference on Computing, Networking and Communications (ICNC). :16-21
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: IEEE Aerospace and Electronic Systems Magazine. 34:2-19
Schlagwörter: G.4, 0209 industrial biotechnology, Time series, G.3, Systems and Control (eess.SY), 02 engineering and technology, Electrical Engineering and Systems Science - Systems and Control, 111 Mathematics, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Optimisation, Mathematics - Optimization and Control, ta113, ta213, Probability (math.PR), 113 Computer and information sciences, Computational complexity, Optimization and Control (math.OC), Kalman filters, State estimation, Mathematics - Probability
Dateibeschreibung: fulltext; application/pdf
Zugangs-URL: https://research.aalto.fi/files/41562866/ELEC_Raitoharju_On_Computational_Complexity.pdf
http://arxiv.org/abs/1512.03077
https://arxiv.org/abs/1512.03077
https://arxiv.org/pdf/1512.03077.pdf
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8861457
https://ui.adsabs.harvard.edu/abs/2015arXiv151203077R/abstract
https://trepo.tuni.fi/handle/10024/127071
https://aaltodoc.aalto.fi/handle/123456789/43452 -
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Autoren:
Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Image and Video Processing, 7. Clean energy, Machine Learning (cs.LG)
Zugangs-URL: http://arxiv.org/abs/2206.09071
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Autoren:
Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Computer Science - Neural and Evolutionary Computing, 02 engineering and technology, Computational Complexity (cs.CC), Machine Learning (cs.LG), Computer Science - Computational Complexity, Optimization and Control (math.OC), 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Neural and Evolutionary Computing (cs.NE), Mathematics - Optimization and Control
Zugangs-URL: http://arxiv.org/abs/2207.14620
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Autoren:
Quelle: International Journal of Communication Systems. 34
Schlagwörter: 0203 mechanical engineering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
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Quelle: Grigoryan, R, Jensen, T L & Larsen, T 2017, 'Computational Complexity Reduction in Nonuniform Compressed Sensing by Multi-Coset Emulation', Signal Processing, vol. 131, pp. 492-501. https://doi.org/10.1016/j.sigpro.2016.04.004
Schlagwörter: 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy
Zugangs-URL: https://vbn.aau.dk/da/publications/
computational -complexity -reduction -in-nonuniform-compressed-sensi
https://www.sciencedirect.com/science/article/pii/S0165168416300275
http://dblp.uni-trier.de/db/journals/sigpro/sigpro131.html#GrigoryanJL17
https://core.ac.uk/display/60658252
http://www.sciencedirect.com/science/article/pii/S0165168416300275
https://dblp.uni-trier.de/db/journals/sigpro/sigpro131.html#GrigoryanJL17
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