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    Clustering Technique for Optimized Search over High-dimensional Space
    2.
    发明申请
    Clustering Technique for Optimized Search over High-dimensional Space 有权

    公开(公告)号：US20170228615A1

    公开(公告)日：2017-08-10

    申请号：US15016647

    申请日：2016-02-05

    申请人： International Business Machines Corporation

    发明人： Aaron J. Chavez ,  Devin R. Harper ,  Nicholas A. Lineback

    IPC分类号： G06K9/62

    CPC分类号： G06K9/6218 ,  G06K9/6215 ,  G06K9/6223 ,  G06K9/6228 ,  G06K9/6255 ,  G06K9/6272

    摘要： An approach is provided in which a knowledge manager locates centroids in a high-dimensional vector space that are closest to a new image feature set and performs nearest neighbor searches on feature sets included in clusters corresponding to the located centroids. The knowledge manager then selects feature sets closest to the new image feature set based on the nearest neighbor searches and in turn, marks images corresponding to the selected closest features sets as similar images to a new image corresponding to the new image feature set.identifies a set of closest centroids to a new image in a high-dimensional vector space and performs a nearest neighbors search between the new image and each of the images included in a set of clusters that correspond to the set of closest centroids. In turn, the knowledge manager selects similar images based upon the nearest neighbors search and provides the similar images to a user interface.

    Custom Taxonomy
    6.
    发明申请
    Custom Taxonomy 审中-公开

    公开(公告)号：US20170228438A1

    公开(公告)日：2017-08-10

    申请号：US15016549

    申请日：2016-02-05

    申请人： International Business Machines Corporation

    发明人： Aaron J. Chavez ,  Elliot B. Turner

    IPC分类号： G06F17/30 ,  G06N99/00

    CPC分类号： G06F16/2465 ,  G06F16/35 ,  G06N20/00

    摘要： An approach is provided in which a knowledge manager trains a custom taxonomy classifier based upon a set of training samples that results in the custom taxonomy classifier understanding relationships between a set of pre-leaned terms. The knowledge manager then uses the custom taxonomy classifier to analyze input data and determine that the input data corresponds to one or more of the pre-learned terms. In turn, the custom taxonomy classifier matches the corresponding pre-learned terms to user-defined categories and assigns the input data to the matched user-defined categories.

    Unreasonable answer filter
    8.
    发明授权
    Unreasonable answer filter 有权
    不合理的回答过滤器

    公开(公告)号：US09478145B1

    公开(公告)日：2016-10-25

    申请号：US14950698

    申请日：2015-11-24

    申请人： International Business Machines Corporation

    发明人： Aaron J. Chavez ,  Gregory W. Schoeninger

    IPC分类号： G06F17/30 ,  G09B7/00 ,  G09B5/00

    CPC分类号： G09B7/00 ,  G09B5/00

    摘要： An approach is provided in which a knowledge manager computes a set of unreasonable answer probabilities based upon a corresponding set of answers. Each of the set of unreasonable answer probabilities indicate a likelihood that its corresponding answer is an unreasonable answer to a question received by the knowledge manager. The knowledge manager determines that one or more unreasonable answers are included in the set of answers based upon determining that their corresponding unreasonable answer probabilities are above a threshold. In turn, the knowledge manager removes the one or more unreasonable answers from the set of answers and provides a modified set of answers to a user.

    摘要翻译： 提供了一种方法，其中知识管理器基于相应的一组答案来计算一组不合理的答案概率。 每一组不合理的答案概率都表明其相应答案对于知识管理者收到的问题是不合理的答案。 知识管理者根据确定其对应的不合理答案概率高于阈值，确定一组或多于多个不合理答案。 反过来，知识经理从一组答案中移除一个或多个不合理的答案，并向用户提供修改后的一组答案。