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    • 26. 发明授权
    • Information processing apparatus, method, and program
    • 信息处理装置,方法和程序
    • US08368929B2
    • 2013-02-05
    • US12428192
    • 2009-04-22
    • Hideyuki Watanabe
    • Hideyuki Watanabe
    • G06K3/12G06F3/12H04N1/04G06K15/00
    • H04N1/001H04L61/103H04L61/2015H04N1/00896H04N2201/0039H04N2201/0081H04N2201/0082H04N2201/0094
    • An information processing apparatus linked to a network includes a central processing unit CPU, a power management unit, a physical layer, a packet engine unit, a packet filter, and a transmission control unit. The packet engine unit transmits a packet to the network. The packet filter receives a packet from the network. The transmission control unit controls packet transmission. The power management unit supplies power to the physical layer, packet filter, and packet engine unit but not the CPU during a low-power mode. The packet engine unit includes an identification data generator, a message data generator, and a packet frame generator. The identification data generator generates identification data. The message data generator generates message data. The packet frame generator generates a packet by combining the identification data and message data. The transmission control unit transmits the packet periodically during the low-power mode.
    • 链接到网络的信息处理装置包括中央处理单元CPU,功率管理单元,物理层,分组引擎单元,分组过滤器和传输控制单元。 分组引擎单元向网络发送分组。 分组过滤器从网络接收分组。 传输控制单元控制分组传输。 电源管理单元在低功耗模式下为物理层,数据包过滤器和数据包引擎单元供电,但不为CPU供电。 分组引擎单元包括识别数据生成器,消息数据生成器和分组帧生成器。 识别数据生成器生成识别数据。 消息数据生成器生成消息数据。 分组帧生成器通过组合识别数据和消息数据来生成分组。 传输控制单元在低功率模式期间周期性地发送分组。
    • 30. 发明授权
    • Signal pattern recognition apparatus comprising parameter training
controller for training feature conversion parameters and discriminant
functions
    • 信号模式识别装置,包括用于训练特征转换参数和判别函数的参数训练控制器
    • US5754681A
    • 1998-05-19
    • US493719
    • 1995-06-22
    • Hideyuki WatanabeTsuyoshi YamaguchiShigeru Katagiri
    • Hideyuki WatanabeTsuyoshi YamaguchiShigeru Katagiri
    • G06K9/66G06F15/18G06K9/62G06N3/00G06T7/00G10L15/02G10L15/08G10L15/10G10L15/20G10L21/02
    • G06K9/6247G06K9/6215
    • In a signal pattern recognition apparatus, a plurality of feature transformation sections respectively transform an inputted signal pattern into vectors in a plurality of feature spaces corresponding respectively to predetermined classes using a predetermined transformation parameter corresponding to each of the classes so as to emphasize a feature of each of the classes, and a plurality of discriminant function sections respectively calculates a value of a discriminant function using a predetermined discriminant function representing a similarity measure of each of the classes for the transformed vectors in the plurality of feature spaces. Then, a selection section executes a signal pattern recognition process by selecting a class to which the inputted signal pattern belongs based on the calculated values of a plurality of discriminant functions corresponding respectively to the classes, and a training control section trains and sets a plurality of transformation parameters of the feature transformation process and a plurality of discriminant functions so that an error probability of the signal pattern recognition is minimized based on a predetermined training signal pattern.
    • 在信号模式识别装置中,多个特征变换部分使用对应于每个类别的预定变换参数分别将输入的信号模式变换成分别对应于预定类别的多个特征空间中的向量,以便强调特征 各个类别和多个判别函数部分分别使用表示多个特征空间中的变换向量的各类的相似性度量的预定判别函数来计算判别函数的值。 然后,选择部根据分别对应于多个等级的多个判别函数的计算值,选择输入信号模式所属的等级,执行信号模式识别处理,训练控制部对多个 特征变换处理的变换参数和多个判别函数,使得基于预定的训练信号模式将信号模式识别的错误概率最小化。