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METHOD OF AND APPARATUS FOR SEGMENTING FOREGROUND AND BACKGROUND INFORMATION FOR OPTICAL CHARACTER RECOGNITION OF LABELS EMPLOYING SINGLE LAYER RECURRENT NEURAL NETWORK
METHOD OF AND APPARATUS FOR SEGMENTING FOREGROUND AND BACKGROUND INFORMATION FOR OPTICAL CHARACTER RECOGNITION OF LABELS EMPLOYING SINGLE LAYER RECURRENT NEURAL NETWORK
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机译:采用单层递归神经网络的标签的光学特征识别中的分段和背景信息的分割方法和装置
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摘要
A lightwave oven cooking method and apparatus using power and pulsed power applied to a plurality of high-power lamps which provide radiant energy in the electromagnetic spectrum and having wavelengths including the visible and near-visible ranges wherein irradiation is applied to the food by applying power to the lamps for a specified period of time without vaporizing all of the surface water on the food, and then applying reduced irradiation to the food to complete the cooking cycle without producing an overly browned surface which inhibits deep penetration of radiation in the near-visible and visible ranges. The reduced power can be at a reduced duty cycle which can be done in a sequence of one or more reducing steps in the duty cycle or a continuous reduction of the duty cycle of the power applied to the lamps. A change in color, in water vapor concentration emitted from the surface, in the food temperatures and/or in the generation of steam to a predetermined degree can be sensed to reduce power.
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