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    • 2. 发明申请
    • Spatial-temporal regulation method for robust model estimation
    • 鲁棒模型估计的时空调节方法
    • US20080056589A1
    • 2008-03-06
    • US11516351
    • 2006-09-05
    • Shih-Jong J. LeeSeho OhHansang Cho
    • Shih-Jong J. LeeSeho OhHansang Cho
    • G06K9/36G06K9/46
    • G06K9/036G06K9/0014G06K9/40
    • A computerized spatial-temporal regulation method for accurate spatial-temporal model estimation receives a spatial temporal sequence containing object confidence mask. A spatial-temporal weight regulation is performed to generate weight sequence output. A weighted model estimation is performed using the spatial temporal sequence and the weight sequence to generate at least one model parameter output. An iterative weight update is performed to generate weight sequence output. A weighted model estimation is performed to generate estimation result output. A stopping criteria is checked and the next iteration iterative weight update and weighted model estimation is performed until the stopping criteria is met. A model estimation is performed to generate model parameter output. An outlier data identification is performed to generate outlier data output. A spatial-temporal data integrity check is performed and the outlier data is disqualified.
    • 用于精确空间 - 时间模型估计的计算机空间 - 时间调节方法接收包含对象置信掩模的空间时间序列。 执行空间 - 时间权重调节以产生权重序列输出。 使用空间时间序列和权重序列来执行加权模型估计,以生成至少一个模型参数输出。 执行迭代权重更新以产生权重序列输出。 执行加权模型估计以产生估计结果输出。 检查停止标准,并执行下一次迭代迭代权重更新和加权模型估计,直到满足停止标准。 执行模型估计以产生模型参数输出。 执行异常值数据识别以产生离群数据输出。 执行空间 - 时间数据完整性检查,异常值数据被取消资格。
    • 3. 发明授权
    • Spatial-temporal regulation method for robust model estimation
    • 鲁棒模型估计的时空调节方法
    • US07974456B2
    • 2011-07-05
    • US11516351
    • 2006-09-05
    • Shih-Jong J. LeeSeho OhHansang Cho
    • Shih-Jong J. LeeSeho OhHansang Cho
    • G06K9/00
    • G06K9/036G06K9/0014G06K9/40
    • A computerized spatial-temporal regulation method for accurate spatial-temporal model estimation receives a spatial temporal sequence containing object confidence mask. A spatial-temporal weight regulation is performed to generate weight sequence output. A weighted model estimation is performed using the spatial temporal sequence and the weight sequence to generate at least one model parameter output. An iterative weight update is performed to generate weight sequence output. A weighted model estimation is performed to generate estimation result output. A stopping criteria is checked and the next iteration iterative weight update and weighted model estimation is performed until the stopping criteria is met. A model estimation is performed to generate model parameter output. An outlier data identification is performed to generate outlier data output. A spatial-temporal data integrity check is performed and the outlier data is disqualified.
    • 用于精确空间 - 时间模型估计的计算机空间 - 时间调节方法接收包含对象置信掩模的空间时间序列。 执行空间 - 时间权重调节以产生权重序列输出。 使用空间时间序列和权重序列来执行加权模型估计,以生成至少一个模型参数输出。 执行迭代权重更新以产生权重序列输出。 执行加权模型估计以产生估计结果输出。 检查停止标准,并执行下一次迭代迭代权重更新和加权模型估计,直到满足停止标准。 执行模型估计以产生模型参数输出。 执行异常值数据识别以产生离群数据输出。 执行空间 - 时间数据完整性检查,异常值数据被取消资格。