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公开(公告)号：US20120053944A1
公开(公告)日：2012-03-01
申请号：US12872054
申请日：2010-08-31
CPC分类号： G10L15/14 , G06K9/00429 , G06K9/6297
摘要： A compressed state sequence s is determined directly from the input sequence of data x. A deterministic function ƒ(x) only tracks unique state transitions, and not the dwell times in each state. A polynomial time compressed state sequence inference method outperforms conventional compressed state sequence inference techniques.
摘要翻译： 直接从数据x的输入序列确定压缩状态序列。 确定性函数ƒ（x）仅跟踪唯一的状态转换，而不是每个状态下的停留时间。 多项式时间压缩状态序列推理方法优于传统的压缩状态序列推理技术。
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公开(公告)号：US08405531B2
公开(公告)日：2013-03-26
申请号：US12872054
申请日：2010-08-31
CPC分类号： G10L15/14 , G06K9/00429 , G06K9/6297
摘要： A compressed state sequence s is determined directly from the input sequence of data x. A deterministic function ƒ(x) only tracks unique state transitions, and not the dwell times in each state. A polynomial time compressed state sequence inference method outperforms conventional compressed state sequence inference techniques.
摘要翻译： 直接从数据x的输入序列确定压缩状态序列。 确定性函数ƒ（x）仅跟踪唯一的状态转换，而不是每个状态下的停留时间。 多项式时间压缩状态序列推理方法优于传统的压缩状态序列推理技术。
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公开(公告)号：US20110200229A1
公开(公告)日：2011-08-18
申请号：US13092408
申请日：2011-04-22
IPC分类号： G06K9/00
CPC分类号： H04N19/615 , H04N19/105 , H04N19/13 , H04N19/46 , H04N19/597 , H04N19/61 , H04N19/63
摘要： Moving objects are classified based on maximum margin classification and discriminative probabilistic sequential modeling of range data acquired by a scanner with a set of one or more 1D laser line scanner. The range data in the form of 2D images is pre-processed and then classified. The classifier is composed of appearance classifiers, sequence classifiers with different inference techniques, and state machine enforcement of a structure of the objects.
摘要翻译： 移动物体根据扫描仪采用一组或多条1D激光线扫描仪获取的范围数据的最大余量分类和区分概率连续建模进行分类。 以2D图像形式的范围数据进行预处理，然后进行分类。 分类器由外观分类器，具有不同推理技术的序列分类器和对象结构的状态机执行组成。
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公开(公告)号：US08824548B2
公开(公告)日：2014-09-02
申请号：US13092408
申请日：2011-04-22
CPC分类号： H04N19/615 , H04N19/105 , H04N19/13 , H04N19/46 , H04N19/597 , H04N19/61 , H04N19/63
摘要： Moving objects are classified based on maximum margin classification and discriminative probabilistic sequential modeling of range data acquired by a scanner with a set of one or more 1D laser line scanner. The range data in the form of 2D images is pre-processed and then classified. The classifier is composed of appearance classifiers, sequence classifiers with different inference techniques, and state machine enforcement of a structure of the objects.
摘要翻译： 移动物体根据扫描仪采用一组或多条1D激光线扫描仪获取的范围数据的最大余量分类和区分概率连续建模进行分类。 以2D图像形式的范围数据进行预处理，然后进行分类。 分类器由外观分类器，具有不同推理技术的序列分类器和对象结构的状态机执行组成。
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