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Projector-camera systems use computer vision to analyze their surroundings and display feedback directly onto real world objects, as embodied by spatial augmented reality. To be effective, the display must remain aligned even when the target object moves, but the added illumination causes problems for traditional algorithms. Current solutions consider the displayed content as interference and largely...
This paper describes a learning theory of the CNN based on the covariance structure analysis using new numerical integral methods. In general, a Cellular Neural Network (CNN) is defined as a local connected circuit which has continuous state variables x ??Rn. The importance is in that the piece-wise linear function of the CNN has a linear region |x| ?? 1 for x ?? x because the learning method can...
This paper proposes a replenishment method suitable for short lifecycle products whose demand is strongly dependent on day of the week. Regarding application industries, we focus on retailers such as $1 stores or convenience stores, most of which have small spaces for display but the number of items is significantly large. The proposed method is advantageous since it can also be applicable for newly...
The nanosecond surface discharge phenomena have been analytically studied using a simulation model. By taking the photoelectric effect on insulation surfaces into the ordinary simulation model, it was possible to explain theoretically the experimental results [1∼ 3].
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