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1. 发明授权

US09449285B2 System and method for using pattern recognition to monitor and maintain status quo 有权
标题翻译：使用模式识别来监控和维护现状的系统和方法
公开(公告)号：US09449285B2
公开(公告)日：2016-09-20
申请号：US14161274
申请日：2014-01-22
申请人： Connotate, Inc.
发明人： Vincent Sgro , Aravind Kalyan Varma Datla , HimaBindu Datla
IPC分类号： G06F15/18 , G06F17/00 , G06N5/02 , G06F7/00 , G06F17/30 , G06N99/00 , G06F11/07 , G06F11/30
CPC分类号： G06N99/005 , G06F11/0709 , G06F11/0751 , G06F11/3006 , G06F11/3072 , G06N5/02
摘要： A system for prospectively identifying media characteristics for inclusion in media content is disclosed. A neural network database including media characteristic information and feature information may associate relationships among the media characteristic information and feature information. Personal characteristic information associated with target media consumers may be used to select a subset of the neural network database. A first set of nodes, representing selected feature information, may be activated. The node interactions may be calculated to detect the activation of a second set of nodes, the second set of nodes representing media characteristic information. Generally, a node is activated when an activation value of the node exceeds a threshold value. Media characteristic information may be identified for inclusion in media content based on the second set of nodes.
摘要翻译：公开了一种用于前瞻性地识别媒体内容的媒体特征的系统。包括媒体特征信息和特征信息的神经网络数据库可以关联媒体特征信息和特征信息之间的关系。可以使用与目标媒体消费者相关联的个人特征信息来选择神经网络数据库的子集。可以激活表示所选特征信息的第一组节点。可以计算节点交互以检测第二组节点的激活，第二组节点表示媒体特征信息。通常，当节点的激活值超过阈值时，节点被激活。可以基于第二组节点来识别媒体特征信息以包含在媒体内容中。

2. 发明申请

US20140136457A1 SYSTEM AND METHOD FOR USING PATTERN RECOGNITION TO MONITOR AND MAINTAIN STATUS QUO 有权
标题翻译：使用模式识别到监视和维护状态的系统和方法
公开(公告)号：US20140136457A1
公开(公告)日：2014-05-15
申请号：US14161274
申请日：2014-01-22
申请人： Connotate, Inc.
发明人： Vincent Sgro , Aravind Kalyan Varma Datla , HimaBindu Datla
IPC分类号： G06N99/00 , G06N5/02
CPC分类号： G06N99/005 , G06F11/0709 , G06F11/0751 , G06F11/3006 , G06F11/3072 , G06N5/02
摘要： The present invention relates to a method of checking data gathered from a content source comprising: receiving initial data from the content source; training a data profiler to generate a set of trusted constraint modules, said training comprising (1) selecting constraint modules having parameters that are applicable to the initial data, (2) adjusting the parameters of the applicable constraint modules to conform with new data from the content source, (3) identifying non-stable constraint modules, and (4) generating a set of trusted constraint modules by removing the non-stable constraint modules; applying the set of trusted constraint modules to subsequently received data from the content source to determine whether the subsequently received data meets the parameters of the set of trusted constraint modules; and signaling a failure upon the subsequently received data failing to meet the parameters of the set of trusted constraint modules.
摘要翻译：本发明涉及一种检查从内容源收集的数据的方法，包括：从内容源接收初始数据; 训练数据分析器以生成一组受信任的约束模块，所述训练包括（1）选择具有适用于初始数据的参数的约束模块，（2）调整可应用约束模块的参数以符合来自内容源，（3）识别非稳定约束模块，（4）通过去除非稳定约束模块生成一组可信约束模块; 将所述可信约束模块集合应用于随后从所述内容源接收到的数据，以确定随后接收到的数据是否满足所述可信约束模块集合的参数; 并且在随后接收的数据未能满足可信约束模块集合的参数的情况下发信号通知失败。

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