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    • 61. 发明申请
    • Method, system, and medium for classifying category of photo
    • 方法,系统和介质,用于分类照片类别
    • US20080013940A1
    • 2008-01-17
    • US11605281
    • 2006-11-29
    • Yong Ju JungSang Kyun KimJi Yeun Kim
    • Yong Ju JungSang Kyun KimJi Yeun Kim
    • G03B17/00
    • G03D15/001
    • A photo category classification method including dividing a region of a photo based on content of the photo and extracting a visual feature from the segmented region of the photo, modeling at least one local semantic concept included in the photo according to the extracted visual feature, acquiring a posterior probability value from confidence values acquired from the modeling of the at least one local semantic concept by normalization using regression analysis, modeling a global semantic concept included in the photo by using the posterior probability value of the at least one local semantic concept; and removing classification noise from a confidence value acquired from the modeling the global semantic concept.
    • 一种照片类别分类方法,包括基于照片的内容划分照片的区域并从照片的分割区域提取视觉特征,根据所提取的视觉特征对包括在照片中的至少一个局部语义概念进行建模,获取 通过使用回归分析的归一化从所述至少一个局部语义概念的建模获得的置信度值的后验概率值,通过使用所述至少一个局部语义概念的后验概率值来对包含在所述照片中的全局语义概念进行建模; 以及从对全局语义概念的建模获得的置信度值中去除分类噪声。
    • 65. 发明申请
    • Ceria abrasive for cmp
    • 二氧化铈磨料为cmp
    • US20060207188A1
    • 2006-09-21
    • US10550804
    • 2004-05-14
    • Un-Gyu PaikJea-Gun ParkSang-Kyun KimTakeo KatohYong-Kook Park
    • Un-Gyu PaikJea-Gun ParkSang-Kyun KimTakeo KatohYong-Kook Park
    • C09K3/14
    • C09G1/02C09K3/1463H01L21/31053
    • The present invention relates to a CMP abrasive comprising a ceria slurry and a chemical additive having two or more functional groups by mixing and synthesizing a polymeric molecule and a monomer. Also, the present invention relates to a method for a manufacturing CMP abrasive by providing a ceria slurry, manufacturing a chemical additive having two or more functional groups by mixing and synthesizing of the polymeric molecule and the monomer in a reactor, and mixing said slurry and said chemical additive. Therefore, when the abrasive according to the present invention is used as an STI CMP abrasive, it is possible to apply the abrasive to the patterning process required in the very large scale integration semiconductor process. Furthermore, the CMP abrasive of the present invention has a superior removal rate, superior polishing selectivity, superior within wafer non-uniformity (WIWNU), and minimized occurrence of micro scratches.
    • 本发明涉及通过混合和合成聚合物分子和单体,其包含二氧化铈浆料和具有两个或更多个官能团的化学添加剂的CMP磨料。 另外,本发明涉及通过提供二氧化铈浆料制造CMP研磨剂的方法,通过在反应器中混合和合成聚合物分子和单体制备具有两个或多个官能团的化学添加剂,并将所述浆料和 说化学添加剂。 因此,当将根据本发明的研磨剂用作STI CMP研磨剂时,可以将磨料施加到非常大规模的集成半导体工艺中所需的图案化工艺。 此外,本发明的CMP磨料具有优异的去除速度,优异的抛光选择性,在晶片不均匀性(WIWNU)内优异,并且微小划痕的发生最小化。
    • 66. 发明授权
    • Method and apparatus for sectioning image into plurality of regions
    • US07076095B2
    • 2006-07-11
    • US09983032
    • 2001-10-22
    • Sang-kyun KimDmitry Nikolayev
    • Sang-kyun KimDmitry Nikolayev
    • G06K9/00
    • G06K9/342G06K9/4652G06K9/6224G06T7/11G06T7/162G06T2207/10016H04N5/14H04N9/64
    • A method and apparatus for sectioning an image into a plurality of regions, by which regions of an image having various features can be extracted stably in a form similar to what humans can perceive, are provided. The method for sectioning an input image into a plurality of regions includes the steps of: converting each pixel of the input image into color coordinates in an arbitrary color space including a luminance (L) axis; forming a plurality of layers and a plurality of bins from the color space; if a distance between the centers of upper last and lower last circles determined using a color, a texture, and a position on an image plane for a pixel is less than a first threshold value, including the upper last and lower last circles in the same cluster and performing the above step on an adjacent lower layer; if the distance between the centers of the upper last and lower last circles is no less than the first threshold value or if the adjacent lower layer does not exist, partitioning the cluster using a last circle including the smallest number of pixels in the color space used in calculating an average color, an average texture, and an average position among the last circles included in the cluster; and performing the above steps on the remaining pixels not included in the upper last or the lower last circle and generating an image graph using clusters obtained for all pixels in the color space.