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Patent Agency Ranking
公开(公告)号：US20160314182A1
公开(公告)日：2016-10-27
申请号：US14414855
申请日：2014-09-18
Applicant: Google, Inc.
Inventor： Xincheng Zhang , Hui Tan , Zhiyu Wang , Jinan Lou
CPC classification number: G06F17/30598 , G06F17/30705 , H04L43/04
Abstract: Methods and apparatus related to clustering documents based on one or more classification terms and optionally based on similarity of structural paths of the documents. In some implementations, the documents are communications such as structured emails or other structured communications. In some of those implementations, clustering the communications includes identifying a plurality of classification terms indicative of a classification, identifying a corpus of communications that includes communications that are not labeled with an association to the classification, and determining a cluster of the communications based on occurrence of one or more of the classification terms in the communications of the cluster.
Abstract translation: 基于一个或多个分类术语和可选地基于文档的结构路径的相似性的与聚类文档相关的方法和装置。 在一些实现中，文档是诸如结构化电子邮件或其他结构化通信之类的通信。 在这些实现中的一些实现中，对通信进行聚类包括识别指示分类的多个分类项，识别包括未标记有与分类的关联的通信的通信语料库，以及基于发生的确定通信集群 集群通信中的一个或多个分类术语。
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公开(公告)号：US10007717B2
公开(公告)日：2018-06-26
申请号：US14414855
申请日：2014-09-18
Applicant: Google Inc.
Inventor： Xincheng Zhang , Hui Tan , Zhiyu Wang , Jinan Lou
CPC classification number: G06F16/285 , G06F16/35 , H04L43/04
Abstract: Methods and apparatus related to clustering documents based on one or more classification terms and optionally based on similarity of structural paths of the documents. In some implementations, the documents are communications such as structured emails or other structured communications. In some of those implementations, clustering the communications includes identifying a plurality of classification terms indicative of a classification, identifying a corpus of communications that includes communications that are not labeled with an association to the classification, and determining a cluster of the communications based on occurrence of one or more of the classification terms in the communications of the cluster.
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公开(公告)号：US09547914B2
公开(公告)日：2017-01-17
申请号：US14169610
申请日：2014-01-31
Applicant: Google Inc.
Inventor： Zhiyu Wang , Edward Y. Chang
CPC classification number: G06T7/90 , G06K9/00684 , G06K9/4619 , G06K9/4623 , G06K9/4652 , G06K9/4671 , G06K9/623
Abstract: A computer-implemented technique for feature extraction includes obtaining an electronic image of an object and performing an edge detection algorithm on the electronic image. The technique further includes performing an edge pooling algorithm and sampling the electronic image edge patches, color patches and texture patches. A set of patches is selected from the edge patches, color patches and texture patches by selecting an (ith+1) patch to be within the set of patches based on a Euclidean distance from an ith patch of the set of patches for each of the set of edge patches, the set of color patches and the set of texture patches. A part selection algorithm and a part pooling algorithm is performed to obtain parts that are registered to the object.
Abstract translation: 用于特征提取的计算机实现技术包括获得对象的电子图像并对电子图像执行边缘检测算法。 该技术还包括执行边缘合并算法并对电子图像边缘补丁，色块和纹理补丁进行采样。 基于从该组补丁的第i个补丁的欧几里德距离，通过选择在该组补丁内的第（i + 1）个补丁，从边缘补丁，色块和纹理补丁中选择一组补丁 一组边缘补丁，一组颜色补丁和一组纹理补丁。 执行部分选择算法和部分合并算法以获得注册到对象的部分。
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公开(公告)号：US20140147039A1
公开(公告)日：2014-05-29
申请号：US14169610
申请日：2014-01-31
Applicant: GOOGLE INC.
Inventor： Zhiyu Wang , Edward Y. Chang
CPC classification number: G06T7/90 , G06K9/00684 , G06K9/4619 , G06K9/4623 , G06K9/4652 , G06K9/4671 , G06K9/623
Abstract: A computer-implemented technique for feature extraction includes obtaining an electronic image of an object and performing an edge detection algorithm on the electronic image. The technique further includes performing an edge pooling algorithm and sampling the electronic image edge patches, color patches and texture patches. A set of patches is selected from the edge patches, color patches and texture patches by selecting an (ith+1) patch to be within the set of patches based on a Euclidean distance from an ith patch of the set of patches for each of the set of edge patches, the set of color patches and the set of texture patches. A part selection algorithm and a part pooling algorithm is performed to obtain parts that are registered to the object.
Abstract translation: 用于特征提取的计算机实现技术包括获得对象的电子图像并对电子图像执行边缘检测算法。 该技术还包括执行边缘合并算法并对电子图像边缘补丁，色块和纹理补丁进行采样。 基于从该组补丁的第i个补丁的欧几里德距离，通过选择在该组补丁内的第（i + 1）个补丁，从边缘补丁，色块和纹理补丁中选择一组补丁 一组边缘补丁，一组颜色补丁和一组纹理补丁。 执行部分选择算法和部分合并算法以获得注册到对象的部分。
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公开(公告)号：US08798375B1
公开(公告)日：2014-08-05
申请号：US13891421
申请日：2013-05-10
Applicant: Google Inc.
Inventor： Edward Y. Chang , Zhiyu Wang , Dingyin Xia
CPC classification number: G06K9/6202 , G06K9/4628 , G06K9/6289
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for labeling images. In one aspect, a method includes automatically identifying an object in an image using a deep model-based and data-driven hybrid architecture.
Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的用于标记图像的计算机程序。 一方面，一种方法包括使用基于深度模型和数据驱动的混合架构自动识别图像中的对象。
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