Suchergebnisse - approximate locality-constrained linear coding algorithm*
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Autoren: et al.
Quelle: Sensors, Vol 23, Iss 11, p 5179 (2023)
Schlagwörter: human behavior recognition, energy image species, hierarchical patches descriptor, approximate locality-constrained linear coding algorithm, Chemical technology, TP1-1185
Dateibeschreibung: electronic resource
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Autoren: et al.
Quelle: International Journal of Computer Assisted Radiology and Surgery. 15:1291-1302
Schlagwörter: 03 medical and health sciences, Support Vector Machine, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, Humans, Intestinal Polyps, Diagnosis, Computer-Assisted, 02 engineering and technology, Capsule Endoscopy, Sensitivity and Specificity, Algorithms
Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/32447521
https://dblp.uni-trier.de/db/journals/cars/cars15.html#YangCLHZ20
https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002267933051601
http://www.ncbi.nlm.nih.gov/pubmed/32447521
https://pubmed.ncbi.nlm.nih.gov/32447521/
https://www.ncbi.nlm.nih.gov/pubmed/32447521
https://europepmc.org/article/MED/32447521 -
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Autoren: et al.
Quelle: Sensors (14248220); Jun2023, Vol. 23 Issue 11, p5179, 19p
Schlagwörter: LINEAR codes, VIDEO surveillance, HUMAN behavior, AMBIENT intelligence
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Autoren: et al.
Quelle: Multimedia Tools & Applications; Jun2019, Vol. 78 Issue 12, p16329-16343, 15p
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Quelle: Multimedia Tools and Applications. 78:16329-16343
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Autoren: et al.
Quelle: International Journal of Computer Assisted Radiology & Surgery; Aug2020, Vol. 15 Issue 8, p1291-1302, 12p
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Quelle: Pattern Analysis and Applications. 18:441-450
Schlagwörter: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Zugangs-URL: http://arxiv.org/pdf/1309.7484
http://arxiv.org/abs/1309.7484
https://arxiv.org/pdf/1309.7484
https://link.springer.com/article/10.1007/s10044-014-0427-1
https://doi.org/10.1007/s10044-014-0427-1
https://rd.springer.com/article/10.1007/s10044-014-0427-1
https://link.springer.com/article/10.1007/s10044-014-0427-1/fulltext.html
https://arxiv.org/abs/1309.7484 -
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Scene image classification using locality-constrained linear coding based on histogram intersection.
Autoren: et al.
Quelle: Multimedia Tools & Applications; Feb2018, Vol. 77 Issue 3, p4081-4092, 12p
Schlagwörter: HISTOGRAMS, IMAGE, CLASSIFICATION of pictures, LINEAR codes, COMPRESSED sensing
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Autoren:
Quelle: Neural Computing & Applications; Nov2023, Vol. 35 Issue 32, p23521-23535, 15p
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Quelle: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science (Sage Publications, Ltd.); Dec2015, Vol. 229 Issue 18, p3350-3360, 11p
Schlagwörter: ROTATING machinery, FAULT diagnosis, LINEAR codes
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Autoren:
Quelle: IEEE Transactions on Automation Science & Engineering; Jan2017, Vol. 14 Issue 1, p149-159, 11p
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Autoren: et al.
Quelle: Multimedia Tools & Applications; Jan2018, Vol. 77 Issue 1, p109-123, 15p
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Quelle: Journal of Signal Processing Systems for Signal, Image & Video Technology; Jan2014, Vol. 74 Issue 1, p59-67, 9p
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Quelle: 2015 IEEE 10th Conference on Industrial Electronics & Applications (ICIEA); 2015, p214-219, 6p
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Quelle: Intelligence Science & Big Data Engineering. Image & Video Data Engineering; 2015, p462-471, 10p
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Quelle: Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012); 1/ 1/2012, p1948-1951, 4p
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Autoren: et al.
Quelle: Multimedia Tools & Applications; Feb2020, Vol. 79 Issue 7/8, p4277-4296, 20p
Schlagwörter: ARTIFICIAL neural networks, CODING theory, RANDOM fields, MEAN field theory, LINEAR codes, LABELS
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Autoren: et al.
Quelle: IEEE Transactions on Industrial Informatics; Jan2014, Vol. 10 Issue 1, p469-480, 12p
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Encoding learning network combined with feature similarity constraints for human action recognition.
Autoren: et al.
Quelle: Multimedia Tools & Applications; May2024, Vol. 83 Issue 16, p48631-48658, 28p
Schlagwörter: MACHINE learning, HUMAN activity recognition, WEIGHT training, LINEAR codes, ENCODING, DESCRIPTOR systems
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