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21. 发明申请

US20070292028A1 ACTIVITY DETECTOR 有权
标题翻译：活动检测器
公开(公告)号：US20070292028A1
公开(公告)日：2007-12-20
申请号：US11845588
申请日：2007-08-27
申请人： Patrice Simard
发明人： Patrice Simard
IPC分类号： G06K9/34
CPC分类号： G06K9/00456
摘要： A system and method facilitating activity (e.g., dithering/half toning and/or noise) detection is provided. The invention includes an activity detection system having a connected component analyzer and an activity detector. The invention provides for the quantity of connected component(s) in and/or intersecting a region surrounding a pixel to be determined. The activity detector provides an activity map output based, at least in part, upon the quantity of connected component(s) in and/or intersecting the region. The invention further provides for an optional image processor. In one example, if the quantity exceeds a first threshold, dithering/half toning is detected and appropriate action can be taken. Additionally, if the quantity is less than a second threshold, noise is detected and appropriate action can be taken.
摘要翻译：提供了促进活动（例如，抖动/半色调和/或噪声）检测的系统和方法。本发明包括具有连接分量分析器和活动检测器的活动检测系统。本发明提供在要确定的像素周围的区域中和/或相交的连接分量的量。活动检测器至少部分地基于在区域中和/或与该区域相交的连接分量的量来提供活动图输出。本发明还提供了一种可选的图像处理器。在一个示例中，如果数量超过第一阈值，则检测到抖动/半色调，并且可以采取适当的动作。此外，如果数量小于第二阈值，则检测噪声并且可以采取适当的动作。

22. 发明申请

US20070211064A1 PROCESSING MACHINE LEARNING TECHNIQUES USING A GRAPHICS PROCESSING UNIT 有权
标题翻译：使用图形处理单元处理机器学习技术
公开(公告)号：US20070211064A1
公开(公告)日：2007-09-13
申请号：US11748474
申请日：2007-05-14
申请人： Ian Buck , Patrice Simard , David Steinkraus
发明人： Ian Buck , Patrice Simard , David Steinkraus
IPC分类号： G06F13/14
CPC分类号： G06N99/005 , G06N3/08
摘要： A system and method for processing machine learning techniques (such as neural networks) and other non-graphics applications using a graphics processing unit (GPU) to accelerate and optimize the processing. The system and method transfers an architecture that can be used for a wide variety of machine learning techniques from the CPU to the GPU. The transfer of processing to the GPU is accomplished using several novel techniques that overcome the limitations and work well within the framework of the GPU architecture. With these limitations overcome, machine learning techniques are particularly well suited for processing on the GPU because the GPU is typically much more powerful than the typical CPU. Moreover, similar to graphics processing, processing of machine learning techniques involves problems with solving non-trivial solutions and large amounts of data.
摘要翻译：一种用于处理机器学习技术（例如神经网络）和使用图形处理单元（GPU）来加速和优化处理的其他非图形应用的系统和方法。该系统和方法传输一种可用于从CPU到GPU的各种机器学习技术的架构。处理到GPU的转移是通过克服这些限制并在GPU架构的框架内工作良好的几种新技术实现的。由于克服了这些限制，机器学习技术特别适用于GPU上的处理，因为GPU通常比典型的CPU功能更强大。此外，类似于图形处理，机器学习技术的处理涉及解决非平凡解决方案和大量数据的问题。

23. 发明申请

US20070106956A1 ACQUIRING WEB PAGE INFORMATION WITHOUT COMMITMENT TO DOWNLOADING THE WEB PAGE 有权
标题翻译：无需承诺下载网页即可获取网页信息
公开(公告)号：US20070106956A1
公开(公告)日：2007-05-10
申请号：US11564093
申请日：2006-11-28
申请人： John Platt , Lisa Heilbron , Patrice Simard , Bernhard Schoelkopf
发明人： John Platt , Lisa Heilbron , Patrice Simard , Bernhard Schoelkopf
IPC分类号： G06F7/00
CPC分类号： G06F17/30905 , Y10S707/99933 , Y10S707/99936
摘要： What is disclosed is acquiring information regarding a web page, without having to commit to downloading that page. In one embodiment, after a current web page is downloaded from one source, and information regarding web pages linked to by links in the current web page are downloaded from a second source, when a user hovers a cursor over a link on a current web page, an informational region is displayed by the link that includes the information from the second source. The informational region may include, for example, a text box that apparently floats by the link. The information in the region can include, for example, keywords in the meta tags of the web page; paragraph headings of the web page; links on the web page to other pages; etc.
摘要翻译：公开的是获取关于网页的信息，而不必承诺下载该页面。在一个实施例中，在从一个源下载当前网页之后，从第二来源下载与当前网页中的链接相链接的网页的信息，当用户将光标悬停在当前网页上的链接上时，信息区域由包括来自第二源的信息的链接显示。信息区域可以包括例如显然由链接浮动的文本框。该区域中的信息可以包括例如网页的元标签中的关键字; 网页的段落标题; 网页链接到其他页面; 等等

24. 发明申请

US20060274381A1 SYSTEM AND METHOD FACILITATING DOCUMENT IMAGE COMPRESSION UTILIZING A MASK 有权
标题翻译：系统和方法利用文字图像压缩文件
公开(公告)号：US20060274381A1
公开(公告)日：2006-12-07
申请号：US11465083
申请日：2006-08-16
申请人： Patrice Simard , Erin Renshaw , James Rinker
发明人： Patrice Simard , Erin Renshaw , James Rinker
IPC分类号： H04N1/00
CPC分类号： G06K9/38 , G06K2209/01
摘要： A system and method facilitating document image compression utilizing a mask separating a foreground of a document image from a background is provided. The invention includes a pixel energy analyzer adapted to partition regions into a foreground and background. The invention further provides for a merge region component adapted to attempt to merge regions if the merged region would not exceed a threshold energy. Merged regions are partitioned into a new foreground and new background. Thereafter, a mask storage component stores the partitioning information in a binary mask.
摘要翻译：提供了利用从背景分离文档图像的前景的掩模来促进文档图像压缩的系统和方法。本发明包括适于将区域分割成前景和背景的像素能量分析器。本发明还提供了一种合并区域组件，其适于在合并区域不超过阈值能量时试图合并区域。合并的区域被划分为新的前景和新的背景。此后，掩模存储部件将分割信息存储在二进制掩码中。

25. 发明申请

US20060171604A1 Block retouching 有权
公开(公告)号：US20060171604A1
公开(公告)日：2006-08-03
申请号：US11393297
申请日：2006-03-30
申请人： Patrice Simard , Henrique Malvar
发明人： Patrice Simard , Henrique Malvar
IPC分类号： G06K9/56 , G06K9/44 , G06K9/40
CPC分类号： G06T5/005 , G06T7/194 , H04N19/60 , H04N19/86
摘要： A system and method facilitating image retouching is provided. The invention includes an image retoucher having a boundary detector and an image extender. The invention provides for the image retoucher to extend care pixels of at least one of a foreground and a background near a detected spurious boundary by altering the binary mask used for compression of the foreground and/or the background.

26. 发明申请

US20060110040A1 System and method facilitating pattern recognition 有权
公开(公告)号：US20060110040A1
公开(公告)日：2006-05-25
申请号：US11327913
申请日：2006-01-09
申请人： Patrice Simard , John Platt , David Steinkraus
发明人： Patrice Simard , John Platt , David Steinkraus
IPC分类号： G06K9/62 , G06K9/00 , G06K9/18 , G06K9/46
CPC分类号： G06K9/4628 , G06K9/00422 , G06K2209/011
摘要： A system and method facilitating pattern recognition is provided. The invention includes a pattern recognition system having a convolutional neural network employing feature extraction layer(s) and classifier layer(s). The feature extraction layer(s) comprises convolutional layers and the classifier layer(s) comprises fully connected layers. The pattern recognition system can be trained utilizing a calculated cross entropy error. The calculated cross entropy error is utilized to update trainable parameters of the pattern recognition system.

27. 发明申请

US20060098878A1 System and method to facilitate pattern recognition by deformable matching 失效
公开(公告)号：US20060098878A1
公开(公告)日：2006-05-11
申请号：US11302004
申请日：2005-12-13
申请人： Nebojsa Jojic , Patrice Simard
发明人： Nebojsa Jojic , Patrice Simard
IPC分类号： G06K9/62
CPC分类号： G06K9/6206 , Y10S707/99936
摘要： A system and method to facilitate pattern recognition or matching between patterns are disclosed that is substantially invariant to small transformations. A substantially smooth deformation field is applied to a derivative of a first pattern and a resulting deformation component is added to the first pattern to derive a first deformed pattern. An indication of similarity between the first pattern and a second pattern may be determined by minimizing the distance between the first deformed pattern and the second pattern with respect to deformation coefficients associated with each deformed pattern. The foregoing minimization provides a system (e.g., linear) that may be solved with standard methods.

28. 发明授权

US06993189B2 System and method to facilitate pattern recognition by deformable matching 失效
标题翻译：通过可变形匹配促进模式识别的系统和方法
公开(公告)号：US06993189B2
公开(公告)日：2006-01-31
申请号：US10867255
申请日：2004-06-14
申请人： Nebojsa Jojic , Patrice Simard
发明人： Nebojsa Jojic , Patrice Simard
IPC分类号： G06K9/48
CPC分类号： G06K9/6206 , Y10S707/99936
摘要： A system and method to facilitate pattern recognition or matching between patterns are disclosed that is substantially invariant to small transformations. A substantially smooth deformation field is applied to a derivative of a first pattern and a resulting deformation component is added to the first pattern to derive a first deformed pattern. An indication of similarity between the first pattern and a second pattern may be determined by minimizing the distance between the first deformed pattern and the second pattern with respect to deformation coefficients associated with each deformed pattern. The foregoing minimization provides a system (e.g., linear) that may be solved with standard methods.
摘要翻译：公开了一种促进模式识别或模式匹配的系统和方法，其基本上不变形为小变换。将基本平滑的变形场施加到第一图案的导数，并将所得到的变形分量添加到第一图案以导出第一变形图案。第一图案和第二图案之间的相似度的指示可以通过相对于与每个变形图案相关联的变形系数最小化第一变形图案和第二图案之间的距离来确定。上述最小化提供了可以用标准方法解决的系统（例如，线性）。

29. 发明申请

US20050165747A1 Image-based document indexing and retrieval 有权
标题翻译：基于图像的文档索引和检索
公开(公告)号：US20050165747A1
公开(公告)日：2005-07-28
申请号：US10758370
申请日：2004-01-15
申请人： David Bargeron , Patrice Simard , Vivek Srivastava
发明人： David Bargeron , Patrice Simard , Vivek Srivastava
IPC分类号： G06T1/00 , G06F17/30 , G06K9/20 , G06F7/00
CPC分类号： G06F17/30011 , G06F17/30253 , G06K9/00463 , Y10S707/99933 , Y10S707/99934 , Y10S707/99936
摘要： A system that facilitates document retrieval and/or indexing is provided. A component receives an image of a document, and a search component searches data store(s) for a match to the document image. The match is performed over word-level topological properties of images of documents stored in the data store(s).
摘要翻译：提供了一种便于文档检索和/或索引的系统。组件接收文档的图像，并且搜索组件搜索与文档图像匹配的数据存储。在存储在数据存储中的文档的图像的字级拓扑属性上执行匹配。

30. 发明申请

US20050025355A1 Elastic distortions for automatic generation of labeled data 有权
标题翻译：用于自动生成标记数据的弹性失真
公开(公告)号：US20050025355A1
公开(公告)日：2005-02-03
申请号：US10631511
申请日：2003-07-31
申请人： Patrice Simard , David Steinkraus
发明人： Patrice Simard , David Steinkraus
IPC分类号： G06K9/62
CPC分类号： G06K9/6256
摘要： A system that facilitates generation of data that can be employed in connection with training a classifier. The system comprises a component that receives a data set that is employed in connection with training the classifier, and an expansion component that applies elastic distortion algorithm(s) to a subset of the data set to generate additional labeled training data.
摘要翻译：一种有助于产生可以与训练分类器结合使用的数据的系统。该系统包括接收与训练分类器结合使用的数据集的组件以及将弹性失真算法应用于数据集的子集以产生附加标记的训练数据的扩展组件。

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