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1. 发明授权

US08873836B1 Cluster-based classification of high-resolution data 有权
标题翻译：基于群集的高分辨率数据分类
公开(公告)号：US08873836B1
公开(公告)日：2014-10-28
申请号：US13538365
申请日：2012-06-29
申请人： David Dietrich , Milind Bhandarkar , David Stephen Reiner
发明人： David Dietrich , Milind Bhandarkar , David Stephen Reiner
IPC分类号： G06K9/00 , G06K9/62
CPC分类号： G06K9/6267 , G06K9/00973
摘要： Classification of images or other types of high-resolution data is performed by a cluster-based data classification system. The system comprises a learner module, a classification director, and a complex classifier comprising a plurality of multi-outcome data classifiers. The classification director determines particular process rules and settings to be applied to a classification request, and the complex classifier is instantiated to process the classification request in accordance with the process rules and settings determined by the classification director. The process rules and settings are adapted under control of the learner module at least in part based on results obtained in processing the classification request and one or more additional classification requests. The cluster-based data classification system may be implemented on a processing platform comprising at least one Hadoop cluster, such that the classification is performed in a parallel manner across multiple processing devices utilizing MapReduce processing.
摘要翻译：图像或其他类型的高分辨率数据的分类由基于群集的数据分类系统执行。该系统包括学习者模块，分类指导器和包括多个多成果数据分类器的复合分类器。分类指导员确定要应用于分类请求的特定处理规则和设置，并且复制分类器被实例化以根据由分类主管确定的过程规则和设置来处理分类请求。至少部分基于在处理分类请求和一个或多个附加分类请求中获得的结果，在学习者模块的控制下调整过程规则和设置。基于簇的数据分类系统可以在包括至少一个Hadoop集群的处理平台上实现，使得利用MapReduce处理跨多个处理设备以并行方式执行分类。

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