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Volumn 11, Issue 6, 2000, Pages 1385-1393

Morphology and autowave metric on CNN applied to Bubble-Debris classification

Author keywords

Autowave metric; Cellular neural networks (CNNs); Hamming and Hausdorff distances; Model based classification

Indexed keywords


EID: 0006191061     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.883456     Document Type: Article
Times cited : (18)

References (19)
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    • Chua, L.O.1    Hasler, M.2    Moschytz, G.S.3    Neirynck, J.4
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    • Autowaves for image processing on a two-dimensional CNN array of excitable nonlinear circuits: Flat and wrinkled labyrinths
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    • T. Roska, L. O. Chua, D. Wolf, T. Kozek, R. Tetzlaff, and F. Puffer, "Simulating nonlinear waves and partial differential equations via CNN - Part I: Basic techniques," IEEE Trans. Circuits Syst. I, vol. 42, pp. 807-815, Oct. 1995.
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    • T. Kozek, L. O. Chua, T. Roska, D. Wolf, R. Tetzlaff, F. Puffer, and K. Lotz, "Simulating nonlinear waves and partial differential equations via CNN - Part II: Typical examples," IEEE Trans. Circuits Syst. I, vol. 42, pp. 816-820, Oct. 1995.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.