专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明申请

US20110137834A1 LEARNING APPARATUS AND METHOD, PREDICTION APPARATUS AND METHOD, AND PROGRAM 有权
标题翻译：学习装置和方法，预测装置和方法以及程序
公开(公告)号：US20110137834A1
公开(公告)日：2011-06-09
申请号：US12954264
申请日：2010-11-24
申请人： Naoki IDE , Masato Ito , Kohtaro Sabe
发明人： Naoki IDE , Masato Ito , Kohtaro Sabe
IPC分类号： G06F15/18 , G06N5/02
CPC分类号： G06N99/005
摘要： A learning apparatus includes: a location acquiring section for acquiring time series data on locations of a user; a time acquiring section for acquiring time series data on times; and learning section for learning an activity model indicating an activity state of the user as a probabilistic state transition model, using the respective acquired time series data on the locations and the times as an input.
摘要翻译：学习装置包括：位置获取部分，用于获取关于用户位置的时间序列数据; 时间获取部分，用于获取时间序列数据; 以及学习部分，用于将使用相应的获取的时间序列数据作为输入来学习指示用户的活动状态的活动模型作为概率状态转换模型。

2. 发明申请

US20110137831A1 LEARNING APPARATUS, LEARNING METHOD AND PROGRAM 审中-公开
标题翻译：学习设备，学习方法和程序
公开(公告)号：US20110137831A1
公开(公告)日：2011-06-09
申请号：US12917853
申请日：2010-11-02
申请人： Naoki IDE , Masato Ito , Kohtaro Sabe
发明人： Naoki IDE , Masato Ito , Kohtaro Sabe
IPC分类号： G06F15/18
CPC分类号： G08G1/0133 , G06K9/6297 , G06N20/00 , G08G1/0112
摘要： A learning apparatus includes: an interpolating section which interpolates data missing in time series data; an estimating section which estimates a Hidden Markov Model from the time series data; and a likelihood calculating section which calculates the likelihood of the estimated Hidden Markov Model. The likelihood calculating section calculates the likelihood for normal data which does not have missing data and the likelihood for interpolation data which is interpolated data in different conditions and calculates the likelihood of the Hidden Markov Model for the time series data in which the data is interpolated. The estimating section updates the Hidden Markov Model so that the likelihood calculated by the likelihood calculating section becomes high.
摘要翻译：学习装置包括：插入时间序列数据中丢失的数据的内插部分; 估计部分，根据时间序列数据估计隐马尔可夫模型; 以及计算估计隐马尔科夫模型的可能性的似然度计算部分。似然度计算部分计算不具有缺失数据的正常数据的可能性以及在不同条件下被内插数据的内插数据的可能性，并计算隐藏马尔可夫模型对于其中内插数据的时间序列数据的可能性。估计部分更新隐马尔可夫模型，使得由似然度计算部分计算的似然率变高。

3. 发明授权

US09589082B2 Data processing device that calculates an arrival probability for a destination using a user's movement history including a missing portion 有权
标题翻译：数据处理装置，其使用包括缺失部分的用户的移动历史来计算目的地的到达概率
公开(公告)号：US09589082B2
公开(公告)日：2017-03-07
申请号：US13878920
申请日：2011-11-07
申请人： Naoki Ide , Masato Ito , Kohtaro Sabe
发明人： Naoki Ide , Masato Ito , Kohtaro Sabe
IPC分类号： G06F17/50 , G01C21/34 , G01C21/36 , G08G1/01 , G06F17/18 , G01S5/00 , G06N99/00
CPC分类号： G06F17/5009 , G01C21/3484 , G01C21/3617 , G01S5/0009 , G06F17/18 , G06F17/50 , G06N99/005 , G08G1/0129
摘要： The present invention relates to a data processing device, a data processing method, and a program which enable prediction to be performed even when there is a gap in the current location data to be obtained in real time. A learning main processor 23 represents movement history data serving as data for learning, as a probability model which represents a user's activity, and obtains a parameter thereof. A prediction main processor 33 uses the probability model obtained by learning to estimate a user's current location from movement history data to be obtained in real time. In the event that there is a data missing portion included in movement history data to be obtained in real time, the prediction main processor 33 generates the data missing portion thereof by interpolation processing, and estimates state nose series corresponding to the interpolated data for prediction. With estimation of state node series, an observation probability less contribution of data than actual data is employed regarding interpolated data. The present invention may be applied to a data processing device configured to predict a destination from movement history data, for example.
摘要翻译：数据处理装置，数据处理方法和程序技术领域本发明涉及即使在实时获取的当前位置数据存在间隙的情况下也能进行预测的数据处理装置，数据处理方法和程序。学习主处理器23表示作为用于学习的数据的运动历史数据，作为表示用户的活动的概率模型，并且获得其参数。预测主处理器33使用通过学习获得的概率模型来实时地获得的移动历史数据来估计用户的当前位置。在要实时获取的移动历史数据中包含数据缺失部分的情况下，预测主处理器33通过内插处理生成其数据缺失部分，并且估计与用于预测的内插数据相对应的状态鼻序列。通过估计状态节点序列，对于内插数据采用数据比实际数据更少的观测概率。本发明可以应用于例如被配置为从移动历史数据预测目的地的数据处理装置。

4. 发明授权

US09285235B2 Information processing device, information processing method, and program 有权
标题翻译：信息处理装置，信息处理方法和程序
公开(公告)号：US09285235B2
公开(公告)日：2016-03-15
申请号：US14005648
申请日：2012-03-16
申请人： Naoki Ide , Yoshiyuki Kobayashi , Masato Ito , Kohtaro Sabe
发明人： Naoki Ide , Yoshiyuki Kobayashi , Masato Ito , Kohtaro Sabe
IPC分类号： G01C21/00 , G01C21/36 , G01C21/34 , G06N5/00
CPC分类号： G01C21/3617 , G01C21/3484
摘要： The present technique relates to an information processing device, an information processing method and a program which can accumulate sufficient movement history data with a little power consumption. A similarity search unit searches for a past route similar to the immediate movement history which is acquired by a position sensor unit and which has time series position data, from the search data stored in a past history DB. A fitness determination unit determines whether or not goodness of fit of the past route searched by the similarity search unit and the immediate movement history is a predetermined threshold or more. A sensor control unit controls an acquisition interval of the position data of the position sensor unit according to a determination result of the fitness determination unit. The technique of this disclosure is applicable to a prediction device which, for example, acquires position data and predicts a predicted route.
摘要翻译：本技术涉及一种信息处理装置，信息处理方法和程序，其能够以少量功耗累积足够的运动历史数据。相似度搜索单元从存储在过去历史DB中的搜索数据中搜索类似于由位置传感器单元获取并具有时间序列位置数据的即时移动历史的过去路线。适应度确定单元确定由相似性搜索单元搜索的过去路线的适合度和即时移动历史是否为预定阈值以上。传感器控制单元根据适应度判定单元的确定结果控制位置传感器单元的位置数据的采集间隔。本公开的技术可应用于例如获取位置数据并预测预测路线的预测装置。

5. 发明申请

US20130197890A1 DATA PROCESSING DEVICE, DATA PROCESSING METHOD, AND PROGRAM 有权
标题翻译：数据处理设备，数据处理方法和程序
公开(公告)号：US20130197890A1
公开(公告)日：2013-08-01
申请号：US13878920
申请日：2011-11-07
申请人： Naoki Ide , Masato Ito , Kohtaro Sabe
发明人： Naoki Ide , Masato Ito , Kohtaro Sabe
IPC分类号： G06F17/50
CPC分类号： G06F17/5009 , G01C21/3484 , G01C21/3617 , G01S5/0009 , G06F17/18 , G06F17/50 , G06N99/005 , G08G1/0129
摘要： The present invention relates to a data processing device, a data processing method, and a program which enable prediction to be performed even when there is a gap in the current location data to be obtained in real time. A learning main processor 23 represents movement history data serving as data for learning, as a probability model which represents a user's activity, and obtains a parameter thereof. A prediction main processor 33 uses the probability model obtained by learning to estimate a user's current location from movement history data to be obtained in real time. In the event that there is a data missing portion included in movement history data to be obtained in real time, the prediction main processor 33 generates the data missing portion thereof by interpolation processing, and estimates state nose series corresponding to the interpolated data for prediction. With estimation of state node series, an observation probability less contribution of data than actual data is employed regarding interpolated data. The present invention may be applied to a data processing device configured to predict a destination from movement history data, for example.
摘要翻译：数据处理装置，数据处理方法和程序技术领域本发明涉及即使在实时获取的当前位置数据存在间隙的情况下也能进行预测的数据处理装置，数据处理方法和程序。学习主处理器23表示作为用于学习的数据的运动历史数据，作为表示用户的活动的概率模型，并且获得其参数。预测主处理器33使用通过学习获得的概率模型来实时地获得的移动历史数据来估计用户的当前位置。在要实时获取的移动历史数据中包含数据缺失部分的情况下，预测主处理器33通过内插处理生成其数据缺失部分，并且估计与用于预测的内插数据相对应的状态鼻序列。通过估计状态节点序列，对于内插数据采用数据比实际数据更少的观测概率。本发明可以应用于例如被配置为从移动历史数据预测目的地的数据处理装置。

6. 发明申请

US20110302116A1 DATA PROCESSING DEVICE, DATA PROCESSING METHOD, AND PROGRAM 审中-公开
标题翻译：数据处理设备，数据处理方法和程序
公开(公告)号：US20110302116A1
公开(公告)日：2011-12-08
申请号：US13116940
申请日：2011-05-26
申请人： Naoki Ide , Masato Ito , Kohtaro Sabe
发明人： Naoki Ide , Masato Ito , Kohtaro Sabe
IPC分类号： G06F15/18
CPC分类号： G08G1/096844 , G01C21/3484 , G06N20/00
摘要： A data processing device including a learning section which expresses user movement history data obtained as learning data as a probability model which expresses activities of a user and learns parameters of the model; a destination and stopover estimation section which estimates a destination node and a stopover node from state nodes of the probability model; a current location estimation section which inputs the user movement history data in the probability model and estimates a current location node which is equivalent to the current location of the user; a searching section which searches for a route from the current location of the user to a destination using information on the estimated destination node and stopover node and the current location node and the probability model obtained by learning; and a calculating section which calculates an arrival probability and a necessary time to the searched destination.
摘要翻译：一种数据处理装置，包括学习部，其将作为学习数据获取的用户移动历史数据表示为表示用户的活动并学习模型的参数的概率模型; 目的地和中途停留估计部，其从所述概率模型的状态节点估计目的地节点和中途停止节点; 当前位置估计部分，其输入概率模型中的用户移动历史数据，并估计与当前用户的当前位置相当的当前位置节点; 搜索部，其使用关于所估计的目的地节点和中继节点以及当前位置节点的信息和通过学习获得的概率模型来搜索从用户的当前位置到目的地的路线; 以及计算部分，其计算到所搜索到的目的地的到达概率和必要时间。

7. 发明申请

US20110137833A1 DATA PROCESSING APPARATUS, DATA PROCESSING METHOD AND PROGRAM 审中-公开
标题翻译：数据处理设备，数据处理方法和程序
公开(公告)号：US20110137833A1
公开(公告)日：2011-06-09
申请号：US12954194
申请日：2010-11-24
申请人： Naoki IDE , Masato Ito , Kohtaro Sabe
发明人： Naoki IDE , Masato Ito , Kohtaro Sabe
IPC分类号： G06N5/02 , G06F15/18
CPC分类号： G06N7/005
摘要： The data processing apparatus includes a state series generation unit and a computing unit. The state series generation unit generates a time series data of state nodes from a time series data of event. The state transition model of the event is expressed as a stochastic state transition model. The computing unit computes the parameters for the stochastic state transition model of events by computing parameters of time series data corresponding to an appearance frequency of the state nodes, the appearance frequency of transitions among the state nodes and the like.
摘要翻译：数据处理装置包括状态序列生成单元和计算单元。状态序列生成单元根据事件的时间序列数据生成状态节点的时间序列数据。事件的状态转换模型表示为随机状态转换模型。计算单元通过计算与状态节点的出现频率相对应的时间序列数据的参数，状态节点之间的转换的出现频率等来计算事件的随机状态转换模型的参数。

8. 发明申请

US20110060709A1 DATA PROCESSING APPARATUS, DATA PROCESSING METHOD, AND PROGRAM 审中-公开
标题翻译：数据处理设备，数据处理方法和程序
公开(公告)号：US20110060709A1
公开(公告)日：2011-03-10
申请号：US12874553
申请日：2010-09-02
申请人： Naoki Ide , Masato Ito , Kohtaro Sabe
发明人： Naoki Ide , Masato Ito , Kohtaro Sabe
IPC分类号： G06F15/18
CPC分类号： G01C21/3484
摘要： A data processing apparatus includes an action learning unit configured to train a user activity model representing activity states of a user in the form of a probabilistic state transition model using time-series location data items of the user, an action recognizing unit configured to recognize a current location of the user using the user activity model obtained through the action learning unit, an action estimating unit configured to estimate a possible route for the user from the current location recognized by the action recognizing unit and a selection probability of the route, and a travel time estimating unit configured to estimate an arrival probability of the user arriving at a destination and a travel time to the destination using the estimated route and the estimated selection probability.
摘要翻译：一种数据处理装置，包括动作学习单元，被配置为使用表示使用者的时间序列位置数据项的概率状态转换模型的形式表示用户的活动状态的用户活动模型，动作识别单元，使用通过动作学习单元获取的用户活动模型的用户的当前位置，动作估计单元，被配置为从动作识别单元识别的当前位置和路线的选择概率来估计用户的可能路线，以及旅行时间估计单元，被配置为使用所估计的路线和估计的选择概率来估计到达目的地的用户的到达概率和到达目的地的行进时间。

9. 发明授权

US08572008B2 Learning apparatus and method, prediction apparatus and method, and program 有权
标题翻译：学习装置及方法，预测装置及方法及程序
公开(公告)号：US08572008B2
公开(公告)日：2013-10-29
申请号：US12954264
申请日：2010-11-24
申请人： Naoki Ide , Masato Ito , Kohtaro Sabe
发明人： Naoki Ide , Masato Ito , Kohtaro Sabe
IPC分类号： G06N5/00
CPC分类号： G06N99/005
摘要： A learning apparatus includes: a location acquiring section for acquiring time series data on locations of a user; a time acquiring section for acquiring time series data on times; and learning section for learning an activity model indicating an activity state of the user as a probabilistic state transition model, using the respective acquired time series data on the locations and the times as an input.
摘要翻译：学习装置包括：位置获取部分，用于获取关于用户位置的时间序列数据; 时间获取部分，用于获取时间序列数据; 以及学习部分，用于将使用相应的获取的时间序列数据作为输入来学习指示用户的活动状态的活动模型作为概率状态转换模型。

10. 发明授权

US08494984B2 Information processing device, information processing method, and program 有权
标题翻译：信息处理装置，信息处理方法和程序
公开(公告)号：US08494984B2
公开(公告)日：2013-07-23
申请号：US12954381
申请日：2010-11-24
申请人： Masato Ito , Hirotaka Suzuki , Naoki Ide , Kohtaro Sabe
发明人： Masato Ito , Hirotaka Suzuki , Naoki Ide , Kohtaro Sabe
IPC分类号： G06F15/18
CPC分类号： G06K9/6297 , G06K9/00335 , H04N21/466 , H04N21/4663
摘要： An information processing device includes an acquisition unit acquiring a viewing log including information representing content of an operation for viewing content and time of the operation, a learning unit learning, based on the viewing log acquired by the acquisition unit, a viewing behavior model which is a stochastic state transition model representing a viewing behavior of a user, a recognition unit recognizing, using the viewing behavior model obtained through learning by the learning unit, a current viewing state of the user, a prediction unit predicting, using the viewing behavior model, the viewing behavior of the user after a predetermined period of time with the current viewing state of the user recognized by the recognition unit as a starting point, and a display control unit displaying information relating to content predicted to be viewed through the viewing behavior predicted by the prediction unit.
摘要翻译：一种信息处理设备，包括：获取单元，其获取包括表示用于观看内容和操作时间的操作的内容的信息的观看日志;基于由所述获取单元获取的观看日志的学习单元学习观看行为模型，所述观看行为模型是表示用户的观看行为的随机状态转换模型，识别单元，使用通过学习单元的学习获得的观看行为模型识别用户的当前观看状态，预测单元，使用观看行为模型，在由识别单元识别的用户的当前观看状态作为起点的预定时间段之后的用户的观看行为，以及显示控制单元，显示与通过由预测单元。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式