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- W2389710918 abstract "The mutual excitation between the local stimuli satisfying the rules of curve distribution (position and orientation continuity) called curve self-excitation is a useful method to discover and enhance curves and to inhibit noise. The Present approaches used parallel connection structure division which did not acquire effect. This paper presents the idea of random time division and dynamic self-excitation, for different curves performing random time-division Searches, time coincidence filtering, and Self excitation accumulation . The Principle is given." @default.
- W2389710918 created "2016-06-24" @default.
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- W2389710918 date "2000-01-01" @default.
- W2389710918 modified "2023-09-27" @default.
- W2389710918 title "Random Time Division Neural Computational Theory for Self-excitation Enhancement of Visual Curves" @default.
- W2389710918 hasPublicationYear "2000" @default.
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