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. 发明授权

US5537488A Pattern recognition system with statistical classification 失效
标题翻译：模式识别系统具有统计分类
公开(公告)号：US5537488A
公开(公告)日：1996-07-16
申请号：US122705
申请日：1993-09-16
申请人： Murali M. Menon , Eric R. Boudreau
发明人： Murali M. Menon , Eric R. Boudreau
IPC分类号： G06K9/62 , G06K9/00
CPC分类号： G06K9/6222 , G06K9/6276
摘要： A pattern recognition system is described. During training, multiple training input patterns from multiple classes of subjects are grouped into clusters within categories by computing correlations between the training patterns and present category definitions. After training, each category is labeled in accordance with the peak class of patterns received within the cluster of the category. If the domination of the peak class over the other classes in the category exceeds a preset threshold, then the peak class defines the category. If the contrast does not exceed the threshold, then the category is defined as unknown. The class statistics for each category are stored in the form of a training class histogram for the category. During testing, frames of test data are received from a subject and are correlated with the category definitions. Each frame is associated with the training class histogram for the closest correlated category. For multiple-frame processing, the histograms are combined into a single observation class histogram which identifies the subject with its peak class within a predefined degree of confidence. The system is incrementally trainable such that new training data can be added without retraining the system.
摘要翻译：描述了模式识别系统。在训练期间，通过计算训练模式与当前类别定义之间的相关性，将多类科目的多种训练输入模式分组到分类内。经过培训，每个类别都按照类别集群内收到的模式的最高等级标注。如果峰值类别与类别中其他类别的统治超过预设阈值，则峰值类定义该类别。如果对比度不超过阈值，则该类别被定义为未知。每个类别的类统计信息以类别的训练类直方图的形式存储。在测试期间，从主题接收测试数据的帧，并与类别定义相关。每个帧与最近相关类别的训练类直方图相关联。对于多帧处理，将直方图组合成单个观察类直方图，其在预定义的置信度内以其峰值类别识别被摄体。该系统是可逐步训练的，从而可以添加新的训练数据，而无需重新训练系统。

2. 发明授权

US5703964A Pattern recognition system with statistical classification 失效
标题翻译：模式识别系统具有统计分类
公开(公告)号：US5703964A
公开(公告)日：1997-12-30
申请号：US617854
申请日：1996-05-06
申请人： Murali M. Menon , Eric R. Boudreau
发明人： Murali M. Menon , Eric R. Boudreau
IPC分类号： G06K9/62
CPC分类号： G06K9/6222 , G06K9/6276
摘要： A pattern recognition system is described. During training, multiple training input patterns from multiple classes of subjects are grouped into clusters within categories by computing correlations between the training patterns and present category definitions. After training, each category is labeled in accordance with the peak class of patterns received within the cluster of the category. If the domination of the peak class over the other classes in the category exceeds a preset threshold, then the peak class defines the category. If the contrast does not exceed the threshold, then the category is defined unknown. The class statistics for each category are stored in the form of a training class histogram for the category. During testing, frames of test data are received from a subject and are correlated with the category definitions. Each frame is associated with the training class histogram for the closest correlated category. For multiple-frame processing, the histograms are combined into a single observation class histogram which identifies the subject with its peak class within a predefined degree of confidence. In a multiple-channel configuration, the training patterns and testing patterns are divided into multiple features.
摘要翻译： PCT No.PCT / US94 / 10527 Sec。 371日期：1996年5月6日 102（e）日期1996年5月6日PCT 1994年9月16日PCT公布。公开号WO95 / 08159 1995年3月23日日期描述了模式识别系统。在训练期间，通过计算训练模式与当前类别定义之间的相关性，将多类科目的多种训练输入模式分组到分类内。经过培训，每个类别都按照类别集群内收到的模式的最高等级标注。如果峰值类别与类别中其他类别的统治超过预设阈值，则峰值类定义该类别。如果对比度不超过阈值，则该类别被定义为未知。每个类别的类统计信息以类别的训练类直方图的形式存储。在测试期间，从主题接收测试数据的帧，并与类别定义相关。每个帧与最近相关类别的训练类直方图相关联。对于多帧处理，将直方图组合成单个观察类直方图，其在预定义的置信度内以其峰值类别识别被摄体。在多通道配置中，训练模式和测试模式分为多个特征。

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