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    • 1. 发明授权
    • Data processing device, data processing method, and program
    • 数据处理装置,数据处理方法和程序
    • US08738555B2
    • 2014-05-27
    • US13248296
    • 2011-09-29
    • Takashi HasuoKohtaro SabeKenta KawamotoYukiko Yoshiike
    • Takashi HasuoKohtaro SabeKenta KawamotoYukiko Yoshiike
    • G06F15/18
    • G06N3/006G06N99/005
    • A data processing device includes a state value calculation unit which calculates a state value of which the value increases as much as a state with a high transition probability for each state of the state transition model, an action value calculation unit which calculates an action value, of which the value increases as a transition probability increases for each state of the state transition model and each action that the agent can perform, a target state setting unit which sets a state with great unevenness in the action value among states of the state transition model to a target state that is the target to reach by action performed by the agent, and an action selection unit which selects an action of the agent so as to move toward the target state.
    • 数据处理装置包括状态值计算单元,其计算与状态转移模型的每个状态的转移概率高的状态一起增加的状态值,动作值计算单元,其计算动作值, 其中该值随状态转换模型的每个状态和代理可以执行的每个动作的转移概率增加而增加;目标状态设置单元,其在状态转换模型的状态之间设置动作值中具有很大不均匀性的状态 到作为由代理执行的动作达到的目标的目标状态;以及动作选择单元,其选择代理人的动作以朝向目标状态移动。
    • 2. 发明授权
    • Information processing device, information processing method, and program
    • 信息处理装置,信息处理方法和程序
    • US09104980B2
    • 2015-08-11
    • US13429130
    • 2012-03-23
    • Kuniaki NodaTakashi HasuoKenta KawamotoKohtaro Sabe
    • Kuniaki NodaTakashi HasuoKenta KawamotoKohtaro Sabe
    • G06K9/00G06N99/00
    • G06N99/005
    • An information processing device includes a learning unit that performs, using an action performed by an object and an observation value of an image as learning data, learning of a separation learning model that includes a background model that is a model of the background of the image and one or more foreground model(s) that is a model of a foreground of the image, which can move on the background, in which the background model includes a background appearance model indicating the appearance of the background, and at least one among the one or more foreground model(s) includes a transition probability, with which a state corresponding to the position of the foreground on the background is transitioned by an action performed by the object corresponding to the foreground, for each action, and a foreground appearance model indicating the appearance of the foreground.
    • 信息处理装置包括:学习单元,其使用由对象执行的动作和图像的观察值作为学习数据;学习包括作为图像的背景的模型的背景模型的分离学习模型; 以及一个或多个前景模型,其是可以在背景上移动的图像的前景的模型,其中背景模型包括指示背景的外观的背景外观模型,以及至少一个背景模型 一个或多个前景模型包括转移概率,对于每个动作,通过由对应于前景的对象执行的动作来转换对应于背景上的前景的位置的状态,以及前景外观模型 指示前景的外观。
    • 7. 发明授权
    • Apparatus, method, and program for predicting user activity state through data processing
    • 用于通过数据处理预测用户活动状态的装置,方法和程序
    • US08560467B2
    • 2013-10-15
    • US12839321
    • 2010-07-19
    • Masato ItoKohtaro SabeHirotaka SuzukiJun YokonoKazumi AoyamaTakashi Hasuo
    • Masato ItoKohtaro SabeHirotaka SuzukiJun YokonoKazumi AoyamaTakashi Hasuo
    • G06F15/18
    • G06K9/00335G06K9/00664G06K9/00778
    • A data processing apparatus includes an obtaining unit for obtaining time-series data, an activity model learning unit for learning an activity model representing a user activity state as a stochastic state transition model from the obtained time-series data, a recognition unit for recognizing a current user activity state by using the learned activity model, and a prediction unit for predicting a user activity state after a predetermined time elapses from a current time from the recognized current user activity state, wherein the prediction unit predicts the user activity state as an occurrence probability, and calculates the occurrence probabilities of the respective states on the basis of the state transition probability of the stochastic state transition model to predict the user activity state, while it is presumed that observation probabilities of the respective states at the respective times of the stochastic state transition model are an equal probability.
    • 数据处理装置包括:获取单元,用于获取时间序列数据;活动模型学习单元,用于从所获得的时间序列数据中学习表示用户活动状态的活动模型作为随机状态转换模型;识别单元,用于识别 通过使用所学习的活动模型的当前用户活动状态,以及预测单元,用于在从所识别的当前用户活动状态起从当前时间经过预定时间之后预测用户活动状态,其中,所述预测单元将所述用户活动状态预测为发生 概率,并且基于随机状态转换模型的状态转移概率来计算各个状态的发生概率以预测用户活动状态,同时假设在随机的各个时间的各个状态的观察概率 状态转换模型是相等的概率。
    • 9. 发明申请
    • DATA PROCESSING DEVICE, DATA PROCESSING METHOD AND PROGRAM
    • 数据处理设备,数据处理方法和程序
    • US20110288835A1
    • 2011-11-24
    • US13106071
    • 2011-05-12
    • Takashi HasuoKenta Kawamoto
    • Takashi HasuoKenta Kawamoto
    • G06F17/10
    • G06K9/6297
    • A data processing device includes a parameter estimation unit and a structure adjustment unit. The structure adjustment unit notes each state of an HMM as a noted state, obtains, for the noted state, a value corresponding to an eigen value difference which is a difference between a partial eigen value sum and a total eigen value sum, as a target degree value indicating a degree for selecting the noted state as a division target or a mergence target, selects a state having the target degree value larger than a division threshold value, as a division target, and selects a state having the target degree value smaller than a mergence threshold value, as a mergence target.
    • 数据处理装置包括参数估计单元和结构调整单元。 结构调整单元将HMM的每个状态表示为所述状态,对于所述状态,获得与作为目标的部分特征值和和总本征值和之间的差的特征值差对应的值 指示用于将所述状态选择为分割目标或合并目标的程度的度值选择具有大于分割阈值的目标度值的状态作为分割目标,并且选择目标度值小于 合并阈值,作为合并目标。