Content search method and apparatus
    41.
    发明申请
    Content search method and apparatus 失效
    内容搜索方法和装置

    公开(公告)号:US20080089553A1

    公开(公告)日:2008-04-17

    申请号:US11703959

    申请日:2007-02-08

    IPC分类号: G06K9/00

    CPC分类号: G06K9/00 G06K2209/05

    摘要: This invention is to enable retrieving of a content the searcher imagines in mind. The search method includes: obtaining a query brain image representing a brain activity state of a searcher when perceiving or imagining the content to be retrieved; identifying the content corresponding to the query brain image by using a structure associating a content with a brain image representing the brain activity state when perceiving the content; and outputting the content corresponding to the query brain image. Thus, by using the query brain image, without specifically indicating the content such as a drawing, the searcher can extract the pertinent content only by imaging the content.

    摘要翻译: 本发明是为了能够检索搜索者想象的内容。 搜索方法包括:当感知或想象要检索的内容时,获得表示搜索者的脑活动状态的查询脑图像; 通过在感知内容时使用将内容与表示大脑活动状态的脑图像相关联的结构来识别与查询脑图像相对应的内容; 并输出与查询脑图像对应的内容。 因此,通过使用查询脑图像,没有特别指示诸如绘图的内容,搜索者可以仅通过对内容进行成像来提取相关内容。

    Image forming apparatus
    42.
    发明授权
    Image forming apparatus 失效
    图像形成装置

    公开(公告)号:US06016154A

    公开(公告)日:2000-01-18

    申请号:US911741

    申请日:1992-07-10

    摘要: An image forming apparatus, such as a laser printer, ink jet printer, or a thermal transfer, which comprises a neural network. The apparatus improves image quality by reducing a zigzag included, e.g., in input image data, reducing the circuit size by reducing the number of bits having small weights for an input combination, and concurrently correcting the size of center, left and right picture elements in a predetermined window. The neural network outputs correction data for the size and position of the center dot in a window in response to an input of dot image data in a window or subdot pattern exposure data for the center dot. Additionally, the neural network uses any of the three values, +1, -1 and 0, for the coefficient of input combination for a hidden layer neuron, e.g., after a teacher pattern is learned. Further, the neural network outputs correction data for 3.times.N subblocks of picture elements obtained by dividing blocks of picture elements in the center, left and right of a window.

    摘要翻译: 包括神经网络的图像形成装置,例如激光打印机,喷墨打印机或热转印。 该装置通过减少包括的锯齿形来提高图像质量,例如在输入图像数据中,通过减少输入组合的具有小权重的位数来减小电路尺寸,并且同时校正中心,左和右图像的大小 一个预定窗口。 响应于窗口中的点图像数据的输入或中心点的子图案曝光数据,神经网络输出窗口中的中心点的大小和位置的校正数据。 此外,神经网络使用三个值+1,-1和0中的任一个作为隐含层神经元的输入组合系数,例如在教师模式被学习之后。 此外,神经网络输出通过划分窗口中心,左侧和右侧的图像元素块获得的图像元素的3×N个子块的校正数据。