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A novel self-organizing neural network for motion segmentation

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Publication:1398071
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DOI10.1023/A:1020970617241zbMath1056.68115OpenAlexW1561259048MaRDI QIDQ1398071

Giansalvo Cirrincione, Maurizio Cirrincione

Publication date: 6 August 2003

Published in: Applied Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1020970617241


zbMATH Keywords

neural networksstructure from motionmotion segmentationself organization


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Machine vision and scene understanding (68T45)


Related Items (4)

Consistent fundamental matrix estimation in a quadratic measurement error model arising in motion analysis ⋮ Convergence analysis of the OJAn MCA learning algorithm by the deterministic discrete time method ⋮ A self-stabilizing MSA algorithm in high-dimension data stream ⋮ Sensorless direct torque control of an induction motor by a TLS-based MRAS observer with adaptive integration




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