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Using Modified Basic Sequential Clustering for Background Reconstruction
Information Technology Journal
◽
10.3923/itj.2008.1037.1042
◽
2008
◽
Vol 7
(7)
◽
pp. 1037-1042
Author(s):
Xiao Mei
◽
Zhang Lei
Keyword(s):
Background Reconstruction
◽
Sequential Clustering
Download Full-text
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A Background Reconstruction Algorithm Based on Modified Basic Sequential Clustering
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◽
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A Background Reconstruction Algorithm Based on Two-Threshold Sequential Clustering
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◽
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GPSeqClus: an r package for sequential clustering of animal location data for model building, model application, and field site investigations
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◽
10.1111/2041-210x.13572
◽
2021
◽
Author(s):
Justin G. Clapp
◽
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◽
Daniel J. Thompson
Keyword(s):
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◽
R Package
◽
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◽
Model Application
◽
Location Data
◽
Building Model
◽
Site Investigations
◽
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A Novel Pixel-wise Defect Inspection Method Based on Stable Background Reconstruction
IEEE Transactions on Instrumentation and Measurement
◽
10.1109/tim.2020.3038413
◽
2020
◽
pp. 1-1
Author(s):
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◽
Fei Shen
◽
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◽
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◽
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Keyword(s):
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◽
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◽
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Optimized parallel implementation of sequential clustering-based event detection
Proceedings of the 14th ACM International Conference on Distributed and Event-based Systems
◽
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◽
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◽
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An Improved PIC Algorithm of Background Reconstruction for Detecting Moving Object
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery
◽
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◽
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◽
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2005 7th International Conference on Information Fusion
◽
10.1109/icif.2005.1591845
◽
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◽
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◽
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◽
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◽
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Simultaneous Motion Detection and Background Reconstruction with a Mixed-State Conditional Markov Random Field
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◽
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◽
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◽
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◽
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◽
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◽
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◽
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◽
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◽
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◽
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◽
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◽
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◽
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Sequential clustering by triangle-cascaded robot deployment
2010 IEEE International Conference on Industrial Technology
◽
10.1109/icit.2010.5472733
◽
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◽
Author(s):
Ping-Ho Chen
◽
Chin-Teng Lin
Keyword(s):
Sequential Clustering
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