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1. 发明申请

US20160055494A1 BOOKING BASED DEMAND FORECAST 审中-公开
标题翻译：基于预期的需求预测
公开(公告)号：US20160055494A1
公开(公告)日：2016-02-25
申请号：US14463199
申请日：2014-08-19
申请人： Boyi Ni , Ruijiang Li , Wenyu Dong , Xingtian Shi , Philippe Nemery , Terry Wang , Irene Chen , Mark Finch , Harald Hengelbrock
发明人： Boyi Ni , Ruijiang Li , Wenyu Dong , Xingtian Shi , Philippe Nemery , Terry Wang , Irene Chen , Mark Finch , Harald Hengelbrock
IPC分类号： G06Q30/02 , G06Q10/02
CPC分类号： G06Q30/0202 , G06Q10/02
摘要： A computer-implemented method for a booking based demand forecast problem includes converting time series data into a multivariate time series, training a multivariate time series model using the converted multivariate time series, forecasting results using the multivariate time series model and aggregating the results.
摘要翻译：用于基于预约的需求预测问题的计算机实现方法包括将时间序列数据转换为多变量时间序列，使用转换的多变量时间序列训练多变量时间序列模型，使用多变量时间序列模型预测结果并聚合结果。

2. 发明申请

US20160048803A1 AUTOMATON-BASED FRAMEWORK FOR ASSET NETWORK ROUTING 审中-公开
标题翻译：基于AUTOMATON的资产网络路由框架
公开(公告)号：US20160048803A1
公开(公告)日：2016-02-18
申请号：US14459262
申请日：2014-08-13
申请人： Yuanyuan CEN , Yingbin ZHENG , Yan TAN , Honggang WANG , Philippe NEMERY , Xingtian SHI , Irene CHEN , Terry WANG , Mark Finch
发明人： Yuanyuan CEN , Yingbin ZHENG , Yan TAN , Honggang WANG , Philippe NEMERY , Xingtian SHI , Irene CHEN , Terry WANG , Mark Finch
IPC分类号： G06Q10/08
CPC分类号： G06Q10/08355 , G06Q10/08 , G06Q10/083
摘要： A rule handler may receive a first routing rule and a second routing rule, each routing rule characterizing at least one potential physical transportation route. A rule converter may convert the first routing rule and the second routing rule into a first finite automaton (FA) and a second finite automaton, respectively, and may combine the first finite automaton and the second finite automaton into a finite automaton network graph. A graph comparator may then compare the finite automaton network graph to existing physical transportation routes, and a route selector may select, based on the comparing, at least one feasible physical transportation route from the existing physical transportation routes, the at least one feasible physical transportation route being an instance of the at least one potential physical transportation route.
摘要翻译：规则处理程序可以接收第一路由规则和第二路由规则，每个路由规则表征至少一个潜在的物理传输路由。规则转换器可以将第一路由规则和第二路由规则分别转换成第一有限自动机（FA）和第二有限自动机，并且可以将第一有限自动机和第二有限自动机组合成有限自动机网络图。图形比较器然后可以将有限自动机网络图与现有物理运输路线进行比较，并且路线选择器可以基于比较，从现有物理运输路线中选择至少一条可行的物理运输路线，所述至少一条可行的物理运输路线是至少一个潜在的物理运输路线的实例。

3. 发明申请

US20120134597A1 RECONSTRUCTION OF SPARSE DATA 有权
标题翻译：重新建立稀疏数据
公开(公告)号：US20120134597A1
公开(公告)日：2012-05-31
申请号：US12954843
申请日：2010-11-26
申请人： Mark Finch , John Snyder , Hugues Hoppe , Yonatan Wexler
发明人： Mark Finch , John Snyder , Hugues Hoppe , Yonatan Wexler
IPC分类号： G06K9/46
CPC分类号： G06T17/00 , G06T7/50
摘要： A dense guide image or signal is used to inform the reconstruction of a target image from a sparse set of target points. The guide image and the set of target points are assumed to be derived from a same real world subject or scene. Potential discontinuities (e.g., tears, edges, gaps, etc.) are first detected in the guide image. The potential discontinuities may be borders of Voronoi regions, perhaps computed using a distance in data space (e.g., color space). The discontinuities and sparse set of points are used to reconstruct the target image. Specifically, pixels of the target image may be interpolated smoothly between neighboring target points, but where neighboring target points are separated by a discontinuity, the interpolation may jump abruptly (e.g., by adjusting or influencing relaxation) at the discontinuity. The target points may be used to select only a subset of the discontinuities to be used during reconstruction.
摘要翻译：使用密集的引导图像或信号来通知来自稀疏目标点集合的目标图像的重建。引导图像和目标点集合被假定为从相同的现实主题或场景导出。在引导图像中首先检测到潜在的不连续性（例如，泪液，边缘，间隙等）。潜在的不连续性可以是Voronoi区域的边界，可以使用数据空间中的距离（例如，颜色空间）来计算。不连续点和稀疏集合点用于重建目标图像。具体地说，目标图像的像素可以在相邻目标点之间平滑地内插，但是当相邻目标点被不连续性分开时，插值可能突然地跳跃（例如通过调节或影响松弛）而跳跃。目标点可以用于仅在重建期间仅选择要使用的不连续的子集。

4. 发明授权

US08917284B2 Vector graphics with controlled thin-plate splines 有权
标题翻译：矢量图形与受控薄板样条
公开(公告)号：US08917284B2
公开(公告)日：2014-12-23
申请号：US13134878
申请日：2011-06-20
申请人： Mark Finch , John Michael Snyder , Hugues H. Hoppe
发明人： Mark Finch , John Michael Snyder , Hugues H. Hoppe
IPC分类号： G09G5/00 , G09G5/02 , G06T11/20 , G06F15/00 , G03F3/08 , H04N1/46 , G06K9/00 , G06K9/40 , G06K9/36
CPC分类号： G06T11/203
摘要： This patent relates to thin plate spline (TPS)-based interpolation techniques for representing free-flowing vector graphics (VG) images based on user-specified features, such as points and curves. One or more features can be identified in a pixel grid. A higher-order least squares interpolating function with a TPS smoothness objective can then be utilized to interpolate individual color values to individual pixels of the pixel grid. Smoothness terms of the function that impose smoothness penalties can be interrupted in certain regions of the pixel grid based on attributes of the user-specified features. For example, a curve attribute can specify a particular color value(s), add or remove a smoothness penalty, or anisotropically impose a first derivative constraint in a particular direction.
摘要翻译：该专利涉及基于薄板样条（TPS）的插值技术，用于基于用户指定的特征（例如点和曲线）来表示自由流动的矢量图形（VG）图像。可以在像素网格中识别一个或多个特征。然后可以利用具有TPS平滑度目标的更高阶最小二乘内插函数将各个颜色值内插到像素网格的各个像素。基于用户指定的特征的属性，可以在像素网格的某些区域中断平滑度惩罚的功能的平滑度项。例如，曲线属性可以指定特定的颜色值，添加或删除平滑度损失，或各向异性地在特定方向施加一阶导数约束。

5. 发明授权

US08737769B2 Reconstruction of sparse data 有权
标题翻译：重建稀疏数据
公开(公告)号：US08737769B2
公开(公告)日：2014-05-27
申请号：US12954843
申请日：2010-11-26
申请人： Mark Finch , John Snyder , Hugues Hoppe , Yonatan Wexler
发明人： Mark Finch , John Snyder , Hugues Hoppe , Yonatan Wexler
IPC分类号： G06K9/32 , G06K9/40
CPC分类号： G06T17/00 , G06T7/50
摘要： A dense guide image or signal is used to inform the reconstruction of a target image from a sparse set of target points. The guide image and the set of target points are assumed to be derived from a same real world subject or scene. Potential discontinuities (e.g., tears, edges, gaps, etc.) are first detected in the guide image. The potential discontinuities may be borders of Voronoi regions, perhaps computed using a distance in data space (e.g., color space). The discontinuities and sparse set of points are used to reconstruct the target image. Specifically, pixels of the target image may be interpolated smoothly between neighboring target points, but where neighboring target points are separated by a discontinuity, the interpolation may jump abruptly (e.g., by adjusting or influencing relaxation) at the discontinuity. The target points may be used to select only a subset of the discontinuities to be used during reconstruction.
摘要翻译：使用密集的引导图像或信号来通知来自稀疏目标点集合的目标图像的重建。引导图像和目标点集合被假定为从相同的现实主题或场景导出。在引导图像中首先检测到潜在的不连续性（例如，泪液，边缘，间隙等）。潜在的不连续性可以是Voronoi区域的边界，可以使用数据空间中的距离（例如，颜色空间）来计算。不连续点和稀疏集合点用于重建目标图像。具体地说，目标图像的像素可以在相邻目标点之间平滑地内插，但是当相邻目标点被不连续分开时，插值可能突然地跳跃（例如，通过调节或影响松弛）而跳跃。目标点可以用于仅在重建期间仅选择要使用的不连续的子集。

6. 发明申请

US20120320063A1 Vector graphics with controlled thin-plate splines 有权
标题翻译：矢量图形与受控薄板样条
公开(公告)号：US20120320063A1
公开(公告)日：2012-12-20
申请号：US13134878
申请日：2011-06-20
申请人： Mark Finch , John Michael Snyder , Hugues H. Hoppe
发明人： Mark Finch , John Michael Snyder , Hugues H. Hoppe
IPC分类号： G06T11/20
CPC分类号： G06T11/203
摘要： This patent relates to thin plate spline (TPS)-based interpolation techniques for representing free-flowing vector graphics (VG) images based on user-specified features, such as points and curves. One or more features can be identified in a pixel grid. A higher-order least squares interpolating function with a TPS smoothness objective can then be utilized to interpolate individual color values to individual pixels of the pixel grid. Smoothness terms of the function that impose smoothness penalties can be interrupted in certain regions of the pixel grid based on attributes of the user-specified features. For example, a curve attribute can specify a particular color value(s), add or remove a smoothness penalty, or anisotropically impose a first derivative constraint in a particular direction.
摘要翻译：该专利涉及基于薄板样条（TPS）的插值技术，用于基于用户指定的特征（例如点和曲线）来表示自由流动的矢量图形（VG）图像。可以在像素网格中识别一个或多个特征。然后可以利用具有TPS平滑度目标的更高阶最小二乘内插函数将各个颜色值内插到像素网格的各个像素。基于用户指定的特征的属性，可以在像素网格的某些区域中断平滑度惩罚的功能的平滑度项。例如，曲线属性可以指定特定的颜色值，添加或删除平滑度损失，或各向异性地在特定方向施加一阶导数约束。

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