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1. 发明授权

US08650138B2 Active metric learning device, active metric learning method, and active metric learning program 有权
标题翻译：主动度量学习设备，主动度量学习方法和主动度量学习程序
公开(公告)号：US08650138B2
公开(公告)日：2014-02-11
申请号：US13130950
申请日：2009-11-24
申请人： Michinari Momma , Satoshi Morinaga , Daisuke Komura
发明人： Michinari Momma , Satoshi Morinaga , Daisuke Komura
IPC分类号： G06F15/18
CPC分类号： G06N99/005 , G06F17/30943 , G06K9/6218
摘要： An active metric learning device includes a metric application data analysis unit, a metric optimization unit, and an attribute clustering unit. The metric application data analysis unit is formed with a metric applying module for calculating the distance between data to be analyzed, a data analyzing module for analyzing the data using a predetermined function and the distances between the data to be analyzed and outputting the result of the data analysis, and an analysis result storage unit for storing the result of the data analysis. The metric optimization unit is formed with a feedback converting module for creating side information according to the command of feedback from the user and a metric learning module for generating a metric matrix optimized under a predetermined condition using the created side information. The attribute clustering unit clusters the metric matrix optimized by the metric optimization unit and structuralizes the attributes.
摘要翻译：活动度量学习装置包括度量应用数据分析单元，度量优化单元和属性聚类单元。度量应用数据分析单元形成有用于计算要分析的数据之间的距离的度量应用模块，用于使用预定函数分析数据的数据分析模块和要分析的数据之间的距离，并输出数据分析以及用于存储数据分析结果的分析结果存储单元。度量优化单元由反馈转换模块形成，用于根据来自用户的反馈命令创建侧信息，以及度量学习模块，用于使用创建的侧信息生成在预定条件下优化的度量矩阵。属性聚类单元聚合由度量优化单元优化的度量矩阵，并对属性进行结构化。

2. 发明申请

US20110231350A1 ACTIVE METRIC LEARNING DEVICE, ACTIVE METRIC LEARNING METHOD, AND ACTIVE METRIC LEARNING PROGRAM 有权
标题翻译：主动公制学习设备，主动学习方法和主动学习方案
公开(公告)号：US20110231350A1
公开(公告)日：2011-09-22
申请号：US13130950
申请日：2009-11-24
申请人： Michinari Momma , Satoshi Morinaga , Daisuke Komura
发明人： Michinari Momma , Satoshi Morinaga , Daisuke Komura
IPC分类号： G06F15/18
CPC分类号： G06N99/005 , G06F17/30943 , G06K9/6218
摘要： An active metric learning device includes a metric application data analysis unit, a metric optimization unit, and an attribute clustering unit. The metric application data analysis unit is formed with a metric applying module for calculating the distance between data to be analyzed, a data analyzing module for analyzing the data using a predetermined function and the distances between the data to be analyzed and outputting the result of the data analysis, and an analysis result storage unit for storing the result of the data analysis. The metric optimization unit is formed with a feedback converting module for creating side information according to the command of feedback from the user and a metric learning module for generating a metric matrix optimized under a predetermined condition using the created side information. The attribute clustering unit clusters the metric matrix optimized by the metric optimization unit and structuralizes the attributes.
摘要翻译：活动度量学习装置包括度量应用数据分析单元，度量优化单元和属性聚类单元。度量应用数据分析单元形成有用于计算要分析的数据之间的距离的度量应用模块，用于使用预定函数分析数据的数据分析模块和要分析的数据之间的距离，并输出数据分析以及用于存储数据分析结果的分析结果存储单元。度量优化单元由反馈转换模块形成，用于根据来自用户的反馈命令创建侧信息，以及度量学习模块，用于使用创建的侧信息生成在预定条件下优化的度量矩阵。属性聚类单元聚合由度量优化单元优化的度量矩阵，并对属性进行结构化。

3. 发明申请

US20110004578A1 ACTIVE METRIC LEARNING DEVICE, ACTIVE METRIC LEARNING METHOD, AND PROGRAM 审中-公开
标题翻译：主动公制学习设备，主动学习方法和程序
公开(公告)号：US20110004578A1
公开(公告)日：2011-01-06
申请号：US12918832
申请日：2008-12-08
申请人： Michinari Momma , Satoshi Morinaga , Norikazu Matsumura , Daisuke Komura
发明人： Michinari Momma , Satoshi Morinaga , Norikazu Matsumura , Daisuke Komura
IPC分类号： G06F15/18
CPC分类号： G06N20/00
摘要： A metric application unit receives data under analysis having a plurality of attributes and a metric indicative of the distance between the data under analysis, calculates the distance between the data under analysis, and output and stores a data analysis result which is generated from an analysis on the data under analysis with a predetermined function, using the calculated distance between the data under analysis. A metric optimization unit generates side-information based on an indication of feedback information entered from the outside and including either similarities between the data under analysis, or the attributes, or a combination thereof, generates a metric which complies with a predetermined condition, based on the generated side information, and stores the generated metric in a metric learning result storage unit.
摘要翻译：度量应用单元接收具有多个属性的分析数据，以及表示被分析数据之间的距离的度量，计算被分析数据之间的距离并输出，并存储从分析生成的数据分析结果用预定功能分析的数据，使用计算出的数据分析距离。度量优化单元基于从外部输入的反馈信息的指示并且包括被分析数据之间的相似性或属性或其组合，基于预定条件生成符合预定条件的度量来产生侧信息，基于生成的侧信息，并将生成的度量存储在度量学习结果存储单元中。

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