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公开(公告)号：US20210312437A1
公开(公告)日：2021-10-07
申请号：US17270847
申请日：2019-04-03
Applicant: Kan TORII
Inventor： Kan TORII
Abstract: A remittance instruction apparatus includes: a key information storage configured to store each of key information for a given user to use each remittance execution service in association with each of remittance execution services; an identification unit configured to identify the key information in the key information unit based on the remittance execution service designated by the user; and a remittance instruction unit configured to, based on remittance information in which a remittance amount in a digital currency and a remittance destination are specified, give a remittance instruction to the remittance execution service, the remittance instruction to remit to a remittance destination address corresponding to the specified remittance destination using the identified key information, wherein, each of the plurality of key information includes one or more keys that differ for each remittance execution service and includes information that can uniquely identify the given user in the remittance execution service.
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2.发明授权Method and apparatus for detecting and processing specific pattern from image 有权用于从图像中检测和处理特定图案的方法和装置公开(公告)号：US09239946B2
公开(公告)日：2016-01-19
申请号：US13546355
申请日：2012-07-11
Applicant: Kan Torii , Masakazu Matsugu , Katsuhiko Mori , Hiroshi Sato , Yusuke Mitarai
Inventor： Kan Torii , Masakazu Matsugu , Katsuhiko Mori , Hiroshi Sato , Yusuke Mitarai
CPC classification number: G06K9/00234 , G06K2209/011 , H04N5/23219
Abstract: In an image within which a face pattern is detected, when a ratio of a skin color pixel is equal to or smaller than a first threshold value in a first region and a ratio of a skin color pixel is equal to or greater than a second threshold value in a second r region, the vicinity of the first region is determined to be a face candidate position at which the face pattern can exist. Face detection is carried out on the face candidate position. The second region is arranged in a predetermined position relative to the first region.
Abstract translation: 在其中检测到面部图案的图像中，当皮肤颜色像素的比例在第一区域中等于或小于第一阈值并且皮肤颜色像素的比率等于或大于第二阈值时 在第二r区域中，第一区域附近被确定为可以存在脸部图案的面部候选位置。 脸部检测在脸部候选位置进行。 第二区域相对于第一区域布置在预定位置。
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3.发明授权Information processing apparatus, information processing method, information processing system, and storage medium for storing information processing program 失效信息处理装置，信息处理方法，信息处理系统以及用于存储信息处理程序的存储介质公开(公告)号：US06717689B1
公开(公告)日：2004-04-06
申请号：US09383927
申请日：1999-08-26
Applicant: Tomoaki Endo , Mamoru Osada , Takashi Inoue , Yasuhiro Sasaki , Kan Torii , Naoko Shimotai , Tomoko Takagi
Inventor： Tomoaki Endo , Mamoru Osada , Takashi Inoue , Yasuhiro Sasaki , Kan Torii , Naoko Shimotai , Tomoko Takagi
IPC: G06F1500
CPC classification number: G06F3/1204 , G06F3/1254 , G06F3/1286
Abstract: There is disclosed an information processing apparatus which is handy for a user. In the information processing apparatus, a user interface of a control program for controlling a peripheral is automatically formed in accordance with a function obtained from the peripheral.
Abstract translation: 公开了一种用于用户的信息处理装置。 在信息处理装置中，根据从外围设备获得的功能，自动地形成用于控制外围设备的控制程序的用户接口。
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4.发明授权Method, apparatus, and computer-readable storage medium for pattern recognition 有权用于模式识别的方法，装置和计算机可读存储介质公开(公告)号：US08625858B2
公开(公告)日：2014-01-07
申请号：US12242470
申请日：2008-09-30
Applicant: Kan Torii , Yusuke Mitarai , Masakazu Matsugu , Masami Kato , Katsuhiko Mori , Hiroshi Sato
Inventor： Kan Torii , Yusuke Mitarai , Masakazu Matsugu , Masami Kato , Katsuhiko Mori , Hiroshi Sato
CPC classification number: G06K9/00234 , G06K9/6221 , G10L15/26
Abstract: A pattern recognition method, applicable to input information including a plurality of regions, includes obtaining a certainty at which each region of the input information includes a pattern, selecting one or more regions having a relatively high-level certainty among the plurality of regions, and performing pattern detection processing on the selected region or regions.
Abstract translation: 可应用于包括多个区域的输入信息的模式识别方法包括获得输入信息的每个区域包括图案的确定性，选择多个区域中具有相对高级确定性的一个或多个区域，以及 对所选择的区域执行图案检测处理。
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5.发明授权Learning apparatus for pattern detector, learning method and computer-readable storage medium 有权用于图案检测器，学习方法和计算机可读存储介质的学习装置公开(公告)号：US08331655B2
公开(公告)日：2012-12-11
申请号：US12485020
申请日：2009-06-15
Applicant: Hiroshi Sato , Katsuhiko Mori , Masakazu Matsugu , Kan Torii , Yuji Kaneda , Takashi Suzuki
Inventor： Hiroshi Sato , Katsuhiko Mori , Masakazu Matsugu , Kan Torii , Yuji Kaneda , Takashi Suzuki
CPC classification number: G06K9/6257 , G06K9/00228 , G06K9/4609 , G06K9/6282
Abstract: A learning apparatus for a pattern detector, which includes a plurality of weak classifiers and detects a specific pattern from input data by classifications of the plurality of weak classifiers, acquires a plurality of data for learning in each of which whether or not the specific pattern is included is given, makes the plurality of weak classifiers learn by making the plurality of weak classifiers detect the specific pattern from the acquired data for learning, selects a plurality of weak classifiers to be composited from the weak classifiers which have learned, and composites the plurality of weak classifiers into one composite weak classifier based on comparison between a performance of the composite weak classifier and performances of the plurality of weak classifiers.
Abstract translation: 一种用于模式检测器的学习装置，包括多个弱分类器，并通过多个弱分类器的分类从输入数据检测特定模式，获取多个用于学习的数据，每个数据是否具体模式是 通过使多个弱分类器从所获取的用于学习的数据中检测到特定模式，使多个弱分类器学习，从已经学习的弱分类器中选择要合成的多个弱分类器，并且复合多个 基于复合弱分类器的性能与多个弱分类器的性能之间的比较，将弱分类器转换为一个复合弱分类器。
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Patent Agency Ranking
6.发明申请METHOD AND APPARATUS FOR DETECTING AND PROCESSING SPECIFIC PATTERN FROM IMAGE 审中-公开用于从图像中检测和处理特定图案的方法和装置公开(公告)号：US20120275650A1
公开(公告)日：2012-11-01
申请号：US13546355
申请日：2012-07-11
Applicant: Kan Torii , Masakazu Matsugu , Katsuhiko Mori , Hiroshi Sato , Yusuke Mitarai
Inventor： Kan Torii , Masakazu Matsugu , Katsuhiko Mori , Hiroshi Sato , Yusuke Mitarai
CPC classification number: G06K9/00234 , G06K2209/011 , H04N5/23219
Abstract: In an image within which a face pattern is detected, when a ratio of a skin color pixel is equal to or smaller than a first threshold value in a first region and a ratio of a skin color pixel is equal to or greater than a second threshold value in a second r region, the vicinity of the first region is determined to be a face candidate position at which the face pattern can exist. Face detection is carried out on the face candidate position. The second region is arranged in a predetermined position relative to the first region.
Abstract translation: 在其中检测到面部图案的图像中，当皮肤颜色像素的比例在第一区域中等于或小于第一阈值并且皮肤颜色像素的比率等于或大于第二阈值时 在第二r区域中，第一区域附近被确定为可以存在脸部图案的面部候选位置。 脸部检测在脸部候选位置进行。 第二区域相对于第一区域布置在预定位置。
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7.发明授权Method and apparatus for detecting and processing specific pattern from image 有权用于从图像中检测和处理特定图案的方法和装置公开(公告)号：US08265350B2
公开(公告)日：2012-09-11
申请号：US11951809
申请日：2007-12-06
Applicant: Kan Torii , Masakazu Matsugu , Katsuhiko Mori , Hiroshi Sato , Yusuke Mitarai
Inventor： Kan Torii , Masakazu Matsugu , Katsuhiko Mori , Hiroshi Sato , Yusuke Mitarai
CPC classification number: G06K9/00234 , G06K2209/011 , H04N5/23219
Abstract: In an image within which a face pattern is detected, when a ratio of a skin color pixel is equal to or smaller than a first threshold value in a first region and a ratio of a skin color pixel is equal to or greater than a second threshold value in a second r region, the vicinity of the first region is determined to be a face candidate position at which the face pattern can exist. Face detection is carried out on the face candidate position. The second region is arranged in a predetermined position relative to the first region.
Abstract translation: 在其中检测到面部图案的图像中，当皮肤颜色像素的比例在第一区域中等于或小于第一阈值并且皮肤颜色像素的比率等于或大于第二阈值时 在第二r区域中，第一区域附近被确定为可以存在脸部图案的面部候选位置。 脸部检测在脸部候选位置进行。 第二区域相对于第一区域布置在预定位置。
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8.发明授权Method and apparatus for detecting a feature of an input pattern using a plurality of feature detectors, each of which corresponds to a respective specific variation type and outputs a higher value when variation received by the input pattern roughly matches the respective specific variation type 有权用于使用多个特征检测器检测输入图案的特征的方法和装置，每个特征检测器对应于各自的特定变化类型，并且当由输入图案接收的变化与各自的特定变化类型大致匹配时，输出更高的值公开(公告)号：US08072612B2
公开(公告)日：2011-12-06
申请号：US11961982
申请日：2007-12-20
Applicant: Hiroshi Sato , Masakazu Matsugu , Katsuhiko Mori , Kan Torii , Yusuke Mitarai
Inventor： Hiroshi Sato , Masakazu Matsugu , Katsuhiko Mori , Kan Torii , Yusuke Mitarai
IPC: G01B11/24
CPC classification number: G06K9/00228 , G06K9/3241
Abstract: A method includes detecting a feature of an input pattern using a plurality of feature detectors, selecting at least one of the feature detectors based on their output values, and calculating a feature quantity of the input pattern based on an output value from at least one selected feature detector.
Abstract translation: 一种方法包括使用多个特征检测器检测输入图案的特征，基于其输出值选择特征检测器中的至少一个，并且基于来自至少一个所选择的输入值的输出值来计算输入图案的特征量 特征检测器
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公开(公告)号：US20090089235A1
公开(公告)日：2009-04-02
申请号：US12205174
申请日：2008-09-05
Applicant: Kan Torii , Katsuhiko Mori , Yusuke Mitarai , Hiroshi Sato , Yuji Kaneda , Takashi Suzuki
Inventor： Kan Torii , Katsuhiko Mori , Yusuke Mitarai , Hiroshi Sato , Yuji Kaneda , Takashi Suzuki
IPC: G06N5/02
CPC classification number: G06K9/6282 , G06K9/68
Abstract: In a pattern identification method in which input data is classified into predetermined classes by sequentially executing a combination of a plurality of classification processes, at least one of the classification processes includes a mapping step of mapping the input data in an N (N≧2) dimensional feature space as corresponding points, a determination step of determining whether or not to execute the next classification process based on the corresponding points, and selecting step of selecting a classification process to be executed next based on the corresponding points when it is determined in the determination step that the next classification process should be executed.
Abstract translation: 在通过顺序地执行多个分类处理的组合将输入数据分类为预定类别的模式识别方法中，至少一个分类处理包括映射步骤，其将输入数据映射到N（N> = 2 ）维特征空间作为对应点，确定步骤，基于对应点确定是否执行下一个分类处理;以及选择步骤，基于对应点选择下一个执行的分类处理 下一个分类过程应该执行的确定步骤。
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10.发明申请PARAMETER LEARNING METHOD, PARAMETER LEARNING APPARATUS, PATTERN CLASSIFICATION METHOD, AND PATTERN CLASSIFICATION APPARATUS 有权参数学习方法，参数学习设备，图案分类方法和图案分类设备公开(公告)号：US20080016016A1
公开(公告)日：2008-01-17
申请号：US11769143
申请日：2007-06-27
Applicant: Yusuke Mitarai , Masakazu Matsugu , Katsuhiko Mori , Kan Torii , Hiroshi Sato
Inventor： Yusuke Mitarai , Masakazu Matsugu , Katsuhiko Mori , Kan Torii , Hiroshi Sato
IPC: G06F15/18
CPC classification number: G06K9/00288 , G06K9/00228 , G06K9/00248 , G06K9/6232 , G06K9/6256 , G06K9/6269
Abstract: A plurality of pieces of learning data, each associated with a class to which the piece of the learning data belong, are input. In each piece of the learning data, a statistical amount of attribute values of elements in each of specific k parts, k being equal to or larger than 1, is calculated. Each piece of the learning data is mapped in a k-dimensional feature space as a vector having the calculated k statistics amounts as elements. Based on each piece of the mapped learning data and the classes to which the pieces of learning data belong, parameters for classifying input data into one of the plurality of classes are learned in the k-dimensional feature space. By using the parameters, pattern classification can be performed with high speed and high accuracy.
Abstract translation: 输入与学习数据所属的类别相关联的多条学习数据。 在每个学习数据中，计算k个等于或大于1的特定k个部分中的每个元素的属性值的统计量。 每个学习数据被映射到k维特征空间中，作为具有计算的k个统计量的向量作为元素。 基于映射的学习数据和学习数据所属的类别，在k维特征空间中学习用于将输入数据分类为多个类中的一个的参数。 通过使用参数，可以高速，高精度地执行模式分类。
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