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- W2138404937 abstract "A neural network-based system for recovering 3-D motion information of curved surfaces from 2-D optical flow parameters is proposed in this paper. A feedforward network architecture that has explicit and concise physical meaning is adopted. A self tuning scheme with an unsupervised learning rule, that connols the dynamics of the system, is also employed. Moreo’ver, a mechanism for preattentative focus, which effectively suppresses the spurious solution of the estimation, is embraced as well." @default.
- W2138404937 created "2016-06-24" @default.
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- W2138404937 date "1996-01-01" @default.
- W2138404937 modified "2023-09-27" @default.
- W2138404937 title "A ?;ELXAL ?;ETWORK-BASED FEEDFORW.4RD .4RCHITECTLXE FOR RECORVERING 3-11 MOTIOX LJTORMATIOK OF CURVED SURFACES" @default.
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