公开(公告)号：US20100014768A1

公开(公告)日：2010-01-21

申请号：US12174513

申请日：2008-07-16

申请人： Anoop K. Bhattacharjya ,  Jing Xiao

发明人： Anoop K. Bhattacharjya ,  Jing Xiao

IPC分类号： G06K9/40

CPC分类号： G06K9/00241 ,  G06K9/00315 ,  G06T5/005 ,  G06T7/248 ,  G06T9/001 ,  G06T2207/10016 ,  G06T2207/30201 ,  H04N19/89

摘要： Disclosed are embodiments of systems and methods to use a model-based technique for image error recovery in data communication. A low-dimensional representation is constructed of an image that contains errors. A manifold comprising image representations and a statistical model of the manifold are used to correct the errors in the image.

摘要翻译： 公开了在数据通信中使用基于模型的图像错误恢复技术的系统和方法的实施例。 低维表示由包含错误的图像构成。 使用包括图像表示和歧管的统计模型的歧管来校正图像中的误差。

公开(公告)号：US6016917A

公开(公告)日：2000-01-25

申请号：US842449

申请日：1997-04-24

申请人： Clifton C. Haggard ,  James R. Thomas ,  Qifang Yang ,  Zhong Ru Wang ,  Jing Xiao ,  Liansheng Wei ,  Jaime S. Villaflor ,  Gang Wang

发明人： Clifton C. Haggard ,  James R. Thomas ,  Qifang Yang ,  Zhong Ru Wang ,  Jing Xiao ,  Liansheng Wei ,  Jaime S. Villaflor ,  Gang Wang

IPC分类号： H05K13/00 ,  B65D85/30

CPC分类号： H05K13/0084

摘要： A component carrier for holding a component includes a carrier substrate and a pocket recessed in the substrate for holding the component in its interior. The pocket has a wall and a floor, and the wall includes a series of elongated arcuate channels. The channels are concave relative to the pocket interior and extend substantially perpendicular to the pocket floor. The wall is substantially flat between the channels. A substantially continuous pedestal projects from the pocket floor. The pedestal has (i) an upper surface for supporting the component, (ii) a pair of support walls extending from the pocket floor and terminating in the support surface, and (iii) a notched portion intermediate the pedestal and defined by a lateral support member extending between the support walls and spaced from the pocket floor, for absorbing lateral components of compressive forces applied to the pedestal.

摘要翻译： 用于保持部件的分量载体包括载体基板和凹陷在基板中的凹槽，用于将部件保持在其内部。 口袋有一个墙壁和一个地板，墙壁包括一系列细长的弧形通道。 通道相对于口袋内部是凹的并且基本垂直于口袋地板延伸。 墙壁在通道之间基本平坦。 基本上连续的基座从口袋地板上突出。 基座具有（i）用于支撑部件的上表面，（ii）从口袋底部延伸并终止在支撑表面中的一对支撑壁，以及（iii）位于基座之间并由侧向支撑件限定的切口部分 构件在支撑壁之间延伸并且与口袋地板间隔开，用于吸收施加到基座的压缩力的侧向分量。

公开(公告)号：US08897575B2

公开(公告)日：2014-11-25

申请号：US13350375

申请日：2012-01-13

申请人： Yuanyuan Ding ,  Jing Xiao

发明人： Yuanyuan Ding ,  Jing Xiao

IPC分类号： G06K9/56 ,  G06K9/46 ,  G06K9/66 ,  G06K9/52

CPC分类号： G06K9/4671 ,  G06K9/4642 ,  G06K9/527

摘要： Systems and methods for object detection are presented herein. Embodiments of the present invention utilizing a cascade feature, one or more features at different scales, one or more multi-scale features in combination with a perspective feature, or combinations thereof to detect an object of interest in an input image. In embodiments, the various features are used to train classifiers. In embodiments, the trained classifiers are used in detecting an object of interest in one or more input images.

摘要翻译： 本文介绍了对象检测的系统和方法。 本发明的实施例利用级联特征，不同尺度的一个或多个特征，与透视特征组合的一个或多个多尺度特征或其组合来检测输入图像中的感兴趣对象。 在实施例中，各种特征用于训练分类器。 在实施例中，训练分类器用于检测一个或多个输入图像中的感兴趣对象。

公开(公告)号：US08892491B2

公开(公告)日：2014-11-18

申请号：US13491108

申请日：2012-06-07

申请人： Jinjun Wang ,  Zhaowen Wang ,  Jing Xiao

发明人： Jinjun Wang ,  Zhaowen Wang ,  Jing Xiao

IPC分类号： G06N5/02 ,  G06T7/20 ,  G06N99/00

CPC分类号： G06N99/005

摘要： Embodiments of the present invention include systems and methods for improved state space modeling (SSM) comprising two added layers to model the substructure transition dynamics and action duration distribution. In embodiments, the first layer represents a substructure transition model that encodes the sparse and global temporal transition probability. In embodiments, the second layer models the action boundary characteristics by injecting discriminative information into a logistic duration model such that transition boundaries between successive actions can be located more accurately; thus, the second layer exploits discriminative information to discover action boundaries adaptively.

摘要翻译： 本发明的实施例包括用于改进状态空间建模（SSM）的系统和方法，所述状态空间建模（SSM）包括两个附加层以对子结构转变动力学和动作持续时间分布进行建模。 在实施例中，第一层表示编码稀疏和全局时间转移概率的子结构转换模型。 在实施例中，第二层通过将识别信息注入逻辑持续时间模型来建模动作边界特征，使得可以更准确地定位连续动作之间的转移边界; 因此，第二层利用辨别信息自动发现行动界限。

公开(公告)号：US20140229124A1

公开(公告)日：2014-08-14

申请号：US14128640

申请日：2012-03-31

申请人： Felipe Albertao ,  Ying Chen ,  Jin Huang ,  Chunhua Tian ,  Hao Wang ,  Jing Xiao

发明人： Felipe Albertao ,  Ying Chen ,  Jin Huang ,  Chunhua Tian ,  Hao Wang ,  Jing Xiao

IPC分类号： G01F1/34

CPC分类号： F17D5/06 ,  F17D5/02 ,  G01F1/34 ,  G01F22/02 ,  G01M3/2815

摘要： A method and an apparatus for determining leakage volume of fluid in transportation pipelines are provided. The method comprises: obtaining the negative pressure wave signals detected by at least two pressure sensors arranged on the pipeline; determining the pressure signal at the leakage location based on the negative pressure wave signals; determining the leakage rate during a leakage period based on the pressure signal at the leakage location according to a leakage model; and determining the leakage volume of the fluid in the pipeline based on the leakage rate and the leakage period. The apparatus provided corresponds to the method described above. By using the method and apparatus described above, the leakage volume of the transportation pipelines can be obtained to help understand the leakage profile of the pipelines and thus reduce losses.

摘要翻译： 提供了一种用于确定运输管道中的流体泄漏体积的方法和装置。 该方法包括：获得由布置在管道上的至少两个压力传感器检测的负压波信号; 基于负压波信号确定泄漏位置处的压力信号; 根据泄漏模型，根据泄漏位置处的压力信号确定泄漏期间的泄漏率; 并基于泄漏率和泄漏周期来确定管道中流体的泄漏体积。 所提供的装置对应于上述方法。 通过使用上述方法和装置，可以获得运输管线的泄漏量，以帮助了解管道的泄漏特征，从而减少损失。

公开(公告)号：US08629791B2

公开(公告)日：2014-01-14

申请号：US13226129

申请日：2011-09-06

申请人： Jing Xiao

发明人： Jing Xiao

IPC分类号： H03M7/34 ,  H03M7/38

CPC分类号： G01S19/07

摘要： Embodiments of the present invention enable compression and decompression of data. Applications of the present invention are its use in embodiments of systems for compression and decompression of GPS long-term Ephemeris (LTE) data, although the present invention is not limited to such applications. In embodiments, the LTE data may be grouped into a set of data values associated with a parameter. In embodiments, a data set may be compressed by using a multi-order differencing scheme. In such a scheme, a set of the differences between values may be compressed because the differences have smaller magnitudes than the values. In embodiments, a multi-order differencing scheme determines how many levels (orders) of differencing may be applied to an original data set before it is compressed. In embodiments, the original data may be recovered from a compressed data set based on the type of multi-order differencing scheme used to generate the compressed data.

摘要翻译： 本发明的实施例能够压缩和解压缩数据。 本发明的应用是用于GPS长期星历（LTE）数据的压缩和解压缩的系统的实施例，尽管本发明不限于这些应用。 在实施例中，LTE数据可以被分组成与参数相关联的一组数据值。 在实施例中，可以通过使用多阶差分方案来压缩数据集。 在这种方案中，可以压缩一组值之间的差异，因为差值比值小。 在实施例中，多阶差分方案确定差异化的级别（次序）可以在压缩之前应用于原始数据集。 在实施例中，可以基于用于生成压缩数据的多阶差分方案的类型从压缩数据集中恢复原始数据。

公开(公告)号：US08553956B2

公开(公告)日：2013-10-08

申请号：US13300353

申请日：2011-11-18

申请人： Chenyu Wu ,  Jing Xiao

发明人： Chenyu Wu ,  Jing Xiao

IPC分类号： G06K9/00 ,  A61B5/05

CPC分类号： A61B5/04007 ,  G06K9/0057

摘要： A current dipole is determined by solving the inverse problem multiple times in consecutive stages. At each stage, a new high resolution image is generated from a magnetic field map from the immediately previous stage, and at each stage more constraints are extracted from the current high resolution image than were available in the immediately previous stage. After the constraints are extracted from a current high resolution image, the current high resolution is updated to incorporate constraints from the immediately previous stage. The updated high resolution image, and the currently extracted constraints are used to resolve the inverse problem, and the Biot-Savart law is used to calculated the current dipole.

摘要翻译： 通过在连续的阶段多次求解反问题来确定电流偶极子。 在每个阶段，从紧接的前一阶段的磁场图生成新的高分辨率图像，并且在每个阶段，从当前的高分辨率图像中提取比在紧接的前一阶段可用的更多约束。 在从当前的高分辨率图像提取约束之后，更新当前的高分辨率以包含来自紧接的前一阶段的约束。 更新的高分辨率图像和当前提取的约束被用于解决逆问题，并且使用Biot-Savart定律来计算当前偶极子。

公开(公告)号：US08553944B2

公开(公告)日：2013-10-08

申请号：US12814903

申请日：2010-06-14

申请人： Chenyu Wu ,  Jing Xiao

发明人： Chenyu Wu ,  Jing Xiao

IPC分类号： G06K9/00

CPC分类号： G03G15/00 ,  H04N1/00002 ,  H04N1/00005 ,  H04N1/00039 ,  H04N1/00045 ,  H04N1/00047 ,  H04N1/00068 ,  H04N1/00082 ,  H04N1/0009 ,  H04N1/00092 ,  H04N1/4095

摘要： Aspects of the present invention include systems and methods for mitigating the effects of leakage when duplicating an image from a double-sided document. In embodiments, a device is calibrated by computing a leakage function. The leakage function is used to obtain a leakage mitigation function. Given the leakage function and the leakage mitigation function, an estimate of a true version of the document image can be obtained using as inputs only the images of the front-side and back-side of the double-sided document.

摘要翻译： 本发明的方面包括当从双面文档复制图像时减轻泄漏的影响的系统和方法。 在实施例中，通过计算泄漏功能校准设备。 泄漏功能用于获得泄漏减轻功能。 给定泄漏功能和泄漏减轻功能，可以仅使用双面文档的正面和背面的图像作为输入来获得文档图像的真实版本的估计。

公开(公告)号：US08515879B2

公开(公告)日：2013-08-20

申请号：US12854776

申请日：2010-08-11

申请人： Seung-il Huh ,  Mithun Das Gupta ,  Jing Xiao

发明人： Seung-il Huh ,  Mithun Das Gupta ,  Jing Xiao

IPC分类号： G06F15/18 ,  G06F17/11

CPC分类号： G06F17/16 ,  G06K9/00221 ,  G06K9/6239

摘要： Supervised kernel nonnegative matrix factorization generates a descriptive part-based representation of data, based on the concept of kernel nonnegative matrix factorization (kernel NMF) aided by the discriminative concept of graph embedding. An iterative procedure that optimizes suggested formulation based on Pareto optimization is presented. The present formulation removes any dependence on combined optimization schemes.

摘要翻译： 基于内核非负矩阵因子分解（核NMF）的概念，受到图形嵌入的区分性概念的帮助，被监督的核非负矩阵因式分解产生了描述性的基于部分的数据表示。 提出了一种基于帕累托优化优化建议公式的迭代过程。 本公式消除了对组合优化方案的任何依赖。

公开(公告)号：US08494302B2

公开(公告)日：2013-07-23

申请号：US13099228

申请日：2011-05-02

申请人： Yuanyuan Ding ,  Jing Xiao

发明人： Yuanyuan Ding ,  Jing Xiao

IPC分类号： G06K9/40 ,  G06K15/02

CPC分类号： G06T3/0012 ,  G06K9/4671

摘要： A content-aware image retargeting technique uses an “importance filtering” technique to preserve important information in the resizing of an image. The image saliency is first filtered, guided by the image itself to achieve a structure-consistent importance map. The pixel importance is then used as the key constraint in computing the gradient map of pixel shifts from the original resolution to the target resolution. Finally the shift gradient is integrated across the image by a weighted filtering process to construct a smooth pixel shift-map and render the target image. The weight is again controlled by the pixel importance. The two filtering processes enforce the maintaining of structural consistency while preserving the important contents in the target image. The simple nature of the present filter operations allow for real-time applications and easy extension to video retargeting, as the structural constraints from the original image naturally convey the temporal coherence between frames.

摘要翻译： 内容感知图像重定向技术使用“重要性过滤”技术在图像大小调整中保留重要信息。 图像显着性首先被过滤，由图像本身引导，以实现结构一致的重要性图。 然后将像素重要性用作计算从原始分辨率到目标分辨率的像素偏移的梯度图的关键约束。 最后，通过加权滤波过程在图像上整合偏移梯度，以构建平滑像素移位图并渲染目标图像。 重量再次受到像素重要性的控制。 两个过滤过程强制维持结构一致性，同时保留目标图像中的重要内容。 由于来自原始图像的结构约束自然地传达帧之间的时间一致性，本过滤器操作的简单性质允许实时应用并且容易地扩展到视频重定向。