IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, IMAGE DISPLAY SYSTEM, AND STORAGE MEDIUM
    3.
    发明申请
    IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, IMAGE DISPLAY SYSTEM, AND STORAGE MEDIUM 有权
    图像处理装置,图像处理方法,图像显示系统和存储介质

    公开(公告)号:US20160217263A1

    公开(公告)日:2016-07-28

    申请号:US14979724

    申请日:2015-12-28

    Abstract: An image processing apparatus for estimating a position in an image which an operator who observes the image is likely to observe as the candidate of a next position is provided. The image processing apparatus includes a next observation estimating unit that estimates a position selected from among a plurality of positions using a parameter indicating an operation history and information regarding an estimation result at least at a current time on the basis of a probability value obtained from a predetermined probability distribution and a displayed image generating unit that generates an image to be displayed so that at least the candidate of the next position is visually recognizable.

    Abstract translation: 一种图像处理装置,用于估计作为下一个位置的候选者观察图像的操作者可能观察到的图像中的位置。 该图像处理装置包括下一个观察估计单元,其基于从一个或多个位置获得的概率值,使用表示操作历史的参数和至少在当前时刻的关于估计结果的信息来估计从多个位置中选择的位置 预定概率分布和显示图像生成单元,其生成要被显示的图像,使得至少可视觉地识别下一位置的候选。

    TRANSFER LEARNING APPARATUS, TRANSFER LEARNING SYSTEM, TRANSFER LEARNING METHOD, AND RECORDING MEDIUM
    6.
    发明申请
    TRANSFER LEARNING APPARATUS, TRANSFER LEARNING SYSTEM, TRANSFER LEARNING METHOD, AND RECORDING MEDIUM 审中-公开
    转学习设备,转学习系统,转学习方法和记录介质

    公开(公告)号:US20160224892A1

    公开(公告)日:2016-08-04

    申请号:US14997539

    申请日:2016-01-17

    CPC classification number: G06N3/08

    Abstract: A transfer learning apparatus includes a transfer target data evaluator and an output layer adjuster. The transfer target data evaluator inputs a plurality of labeled transfer target data items each assigned a label of a corresponding evaluation item from among one or more evaluation items to a neural network apparatus having been trained by using a plurality of labeled transfer source data items and including in an output layer output units, the number of which is larger than or equal to the number of evaluation items, and obtains evaluation values output from the respective output units. The output layer adjuster preferentially assigns, to each of the one or more evaluation items, an output unit from which the evaluation value having the smallest difference from the label of the evaluation item is obtained with a higher frequency, as an output unit that outputs the evaluation value of the evaluation item.

    Abstract translation: 传送学习装置包括传送目标数据评估器和输出层调节器。 传送目标数据评估器将通过使用多个标记的传送源数据项训练的神经网络装置,将从各个评价项目分配了相应的评价项目的标签的多个标签传送对象数据项目输入到包含 在输出层输出单元中,其数量大于或等于评估项目的数量,并且获得从各个输出单元输出的评估值。 输出层调整器优先地将一个或多个评估项目中的每一个分配给输出单元,从该输出单元获得具有较高频率的与评估项目的标签具有最小差异的评估值作为输出单元 评价项目的评价值。

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