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    • 11. 发明授权
    • Apparatus and method for coordinate coding, and method and apparatus for distance calculation
    • 用于坐标编码的装置和方法,以及距离计算的方法和装置
    • US09175965B2
    • 2015-11-03
    • US13541376
    • 2012-07-03
    • Hiroya InakoshiTatsuya AsaiHiroaki MorikawaShinichiro TagoNobuhiro YugamiSeishi Okamoto
    • Hiroya InakoshiTatsuya AsaiHiroaki MorikawaShinichiro TagoNobuhiro YugamiSeishi Okamoto
    • G06F7/00G01C21/20
    • G01C21/20
    • An apparatus includes a unit dividing a region into blocks having a predetermined bit length and generating addition data having the predetermined bit length corresponding to coordinate data, a unit storing storage data having the predetermined bit length, a unit generating composite data having a bit length twice the length of the predetermined bit length by connecting the addition data to the storage data, and storing the composite data, and a unit repeating an operation of designating the bit length of the composite data as the predetermined bit length, instructing to generate the addition data, and instructing to generate and store the composite data. The number of different bits between a bit string of a location corresponding to the input coordinate data and a bit string of a reference location tends to increase as a distance between the location corresponding to the coordinate data and the reference location increases.
    • 一种装置包括将区域划分成具有预定位长度的块并产生具有与坐标数据相对应的预定位长度的附加数据的单元,存储具有预定位长度的存储数据的单元,具有位长度两倍的单位生成单元 通过将加法数据连接到存储数据,并存储合成数据的预定位长度的长度,以及重复指定复合数据的位长度的操作的单元作为预定位长度,指示生成相加数据 并指示生成和存储复合数据。 对应于输入坐标数据的位置的位串与参考位置的位串之间的不同位的数目趋向于随着对应于坐标数据的位置和参考位置之间的距离增加而增加。
    • 14. 发明授权
    • Data partitioning apparatus and data partitioning method
    • 数据分区装置和数据分区方法
    • US09235578B2
    • 2016-01-12
    • US13473345
    • 2012-05-16
    • Tatsuya AsaiHiroaki MorikawaShinichiro TagoHiroya InakoshiNobuhiro YugamiSeishi Okamoto
    • Tatsuya AsaiHiroaki MorikawaShinichiro TagoHiroya InakoshiNobuhiro YugamiSeishi Okamoto
    • G06F17/00G06F17/30
    • G06F17/30067G06F17/30286G06F17/30516
    • A data partitioning apparatus receives stream data and stores with previous-and-subsequent information that specifies data previous and subsequent to the data. Then, for groups, each of which contains the data that are stored and that are partitioned into the number of the groups, the data partitioning apparatus stores top information specifying data located at the top in a corresponding group and end information specifying data located at the end in the corresponding group. Then, when new data is stored, the data partitioning apparatus specifies data previous and subsequent to the new data and stores the new data by associating it with the previous-and-subsequent information that specifies the data previous and subsequent to the new data. Then, when data is inserted, the data partitioning apparatus updates information for each group such that the difference between the number of data belonging to each group is equal to or less than one.
    • 数据分割装置接收流数据并且存储具有指定数据之前和之后的数据的先前和后续信息。 然后,对于每个包含存储的数据并且被划分为组的数量的组,数据分割装置存储指定位于相应组中的顶部的顶部信息,并且指定位于 在相应的组中结束。 然后,当存储新数据时,数据划分装置指定新数据之前和之后的数据,并通过将新数据与新数据之前和之后的数据指定的先前和后续信息相关联来存储新数据。 然后,当插入数据时,数据划分装置更新每个组的信息,使得属于每个组的数据的数量之间的差等于或小于1。
    • 17. 发明申请
    • DATA PARTITIONING APPARATUS AND DATA PARTITIONING METHOD
    • 数据分割设备和数据分区方法
    • US20130031048A1
    • 2013-01-31
    • US13473345
    • 2012-05-16
    • Tatsuya ASAIHiroaki MorikawaShinichiro TagoHiroya InakoshiNobuhiro YugamiSeishi Okamoto
    • Tatsuya ASAIHiroaki MorikawaShinichiro TagoHiroya InakoshiNobuhiro YugamiSeishi Okamoto
    • G06F17/30
    • G06F17/30067G06F17/30286G06F17/30516
    • A data partitioning apparatus receives stream data and stores with previous-and-subsequent information that specifies data previous and subsequent to the data. Then, for groups, each of which contains the data that are stored and that are partitioned into the number of the groups, the data partitioning apparatus stores top information specifying data located at the top in a corresponding group and end information specifying data located at the end in the corresponding group. Then, when new data is stored, the data partitioning apparatus specifies data previous and subsequent to the new data and stores the new data by associating it with the previous-and-subsequent information that specifies the data previous and subsequent to the new data. Then, when data is inserted, the data partitioning apparatus updates information for each group such that the difference between the number of data belonging to each group is equal to or less than one.
    • 数据分割装置接收流数据并且存储具有指定数据之前和之后的数据的先前和后续信息。 然后,对于每个包含存储的数据并且被划分为组的数量的组,数据分割装置存储指定位于相应组中的顶部的顶部信息,并且指定位于该对应组的结束信息 在相应的组中结束。 然后,当存储新数据时,数据划分装置指定新数据之前和之后的数据,并通过将新数据与新数据之前和之后的数据指定的先前和后续信息相关联来存储新数据。 然后,当插入数据时,数据划分装置更新每个组的信息,使得属于每个组的数据的数量之间的差等于或小于1。
    • 18. 发明授权
    • Article reader program, article management method and article reader
    • 文章阅读器程序,文章管理方法和文章阅读器
    • US07331517B2
    • 2008-02-19
    • US11182941
    • 2005-07-15
    • Hiroya InakoshiSeishi OkamotoTatsuya Asai
    • Hiroya InakoshiSeishi OkamotoTatsuya Asai
    • G06K5/00
    • G06F17/30716G06F17/30675
    • An article reader program of this invention comprises: detecting that a display of data concerning a first article is instructed by a user; calculating an article relevance degree between the first article and a second article; extracting the second article whose article relevance degree with the first article satisfies a predetermined condition in relation to the first article; assigning a top priority to the first article; assigning a priority lower than the top priority of the first article to the extracted second article; and displaying the data concerning the first article and data concerning the extracted second article according to the assigned priorities of the first article and the extracted second article.
    • 本发明的文章阅读器程序包括:检测用户指示关于第一物品的数据的显示; 计算第一篇文章和第二篇文章之间的文章相关程度; 提取与第一物品的物品相关度满足与第一物品相关的预定条件的第二物品; 为第一篇文章赋予最高优先级; 将优先级低于第一物品的最高优先权到提取的第二物品; 并且根据第一物品和所提取的第二物品的分配的优先级,显示关于第一物品的数据和与提取的第二物品有关的数据。
    • 19. 发明授权
    • Rule learning method, program, and device selecting rule for updating weights based on confidence value
    • 规则学习方法,程序和设备选择规则,用于基于置信度值更新权重
    • US08370276B2
    • 2013-02-05
    • US12507379
    • 2009-07-22
    • Tomoya IwakuraSeishi Okamoto
    • Tomoya IwakuraSeishi Okamoto
    • G06F15/18
    • G06N5/025
    • A rule learning method in machine learning includes distributing features to a given number of buckets based on a weight of the features which are correlated with a training example; specifying a feature with a maximum gain value as a rule based on a weight of the training example from each of the buckets; calculating a confidence value of the specified rule based on the weight of the training example; storing the specified rule and the confidence value in a rule data storage unit; updating the weights of the training examples based on the specified rule, the confidence value of the specified rule, data of the training example, and the weight of the training example; and repeating the distributing, the specifying, the calculating, the storing, and the updating, when the rule and the confidence value are to be further generated.
    • 机器学习中的规则学习方法包括基于与训练示例相关联的特征的权重将特征分配到给定数量的桶; 基于来自每个桶的训练样本的权重,规定具有作为规则的最大增益值的特征; 基于训练样本的权重计算指定规则的置信度值; 将所述指定规则和所述置信度值存储在规则数据存储单元中; 基于指定规则,指定规则的置信度,训练样本的数据和训练示例的权重来更新训练样本的权重; 并且当要进一步产生规则和置信度值时,重复分发,指定,计算,存储和更新。
    • 20. 发明授权
    • Keyword output apparatus and method
    • 关键词输出装置及方法
    • US08244773B2
    • 2012-08-14
    • US12613984
    • 2009-11-06
    • Kanji UchinoTetsuro TakahashiSeishi Okamoto
    • Kanji UchinoTetsuro TakahashiSeishi Okamoto
    • G06F15/16G06F17/20
    • G06F17/30864
    • Related keywords having certain relations to a target keyword are extracted from a unit storing keywords according to relations among each other. Expressions corresponding to the target keyword and related keywords are read from a unit storing expressions correspondingly with each stored keyword, each expression having been extracted from a content containing the corresponding keyword. A commonness between the expressions corresponding to each related keyword and the target keyword is calculated. An association between each related keyword and the target keyword is calculated using a distance for each related keyword from the target keyword and the commonness. A related keyword having a certain association is extracted as a same-region keyword in a same region as the target keyword. A drawing including the target keyword and related keywords arranged according to the associations is output with the same-region keyword displayed distinguishably from other related keywords not included in the same region.
    • 根据关系,从存储关键字的单元中提取与目标关键词具有一定关系的相关关系。 对应于目标关键字和相关关键字的表达式从存储与每个存储的关键词相对应的表达式的单元中读取,每个表达式已经从包含相应关键字的内容中提取出来。 计算与每个相关关键字对应的表达式与目标关键字之间的共同性。 使用来自目标关键字的每个相关关键字的距离和共同性来计算每个相关关键字和目标关键字之间的关联。 将具有一定关联的相关关键字作为与目标关键词相同的区域中的相同区域关键字提取。 输出包括根据关联设置的目标关键字和相关关键词的图形,其中显示与不包括在相同区域中的其他相关关键字可区分地显示的相同区域关键字。