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1. 发明申请

US20150025939A1 Company Centric Social Media Platfonn for Content Sharing aud Tracking 审中-公开
标题翻译：以公司为中心的社交媒体平台，用于内容共享aud跟踪
公开(公告)号：US20150025939A1
公开(公告)日：2015-01-22
申请号：US13945456
申请日：2013-07-18
申请人： Somnath Chatterjee , Krishnakumar Subramanian
发明人： Somnath Chatterjee , Krishnakumar Subramanian
IPC分类号： G06Q10/06 , G06Q50/00
CPC分类号： G06Q10/0637 , G06Q50/01
摘要： Social networks by their nature are networks of people and their user-generated content. This content is usually un-curated and does not follow a general theme. This makes it very hard for people to find information they seek in these networks. When it comes to business centric communities, they need a better network where content is curated, tagged, and indexed properly thus making it easy for users to find the relevant content. SharePract is a community of curated, tagged, and indexed companies along with curated, tagged, and indexed content, making it easy for companies to find their business partners, clients, vendors, service providers, legal documents, marketing reports, business videos, webinars, and much more.
摘要翻译：社会网络本质上是人网和用户生成的内容。这个内容通常是没有策略的，不符合一般的主题。这使得人们很难在这些网络中找到他们寻求的信息。当涉及到以业务为中心的社区时，他们需要一个更好的网络，内容被正确地策划，标记和编入索引，使用户可以轻松找到相关的内容。 SharePract是一个策划，标记和索引公司的社区，以及策划，标记和索引的内容，使公司能够轻松找到他们的业务合作伙伴，客户，供应商，服务提供商，法律文件，营销报告，商业视频，网络研讨会，以及更多。

2. 发明授权

US08644611B2 Segmental rescoring in text recognition 有权
标题翻译：文本识别中的分段挽回
公开(公告)号：US08644611B2
公开(公告)日：2014-02-04
申请号：US12477582
申请日：2009-06-03
申请人： Premkumar Natarajan , Rohit Prasad , Richard Schwartz , Krishnakumar Subramanian
发明人： Premkumar Natarajan , Rohit Prasad , Richard Schwartz , Krishnakumar Subramanian
IPC分类号： G06K9/18 , G06K9/62 , G06K9/68 , G06K7/10
CPC分类号： G06K9/6842 , G06K9/00865 , G06K9/6292 , G06K2209/01
摘要： A method for text recognition includes generating a number of text hypotheses for an image, for example, using an HMM based approach using fixed-width analysis features. For each text hypothesis, one or more segmentations are generated and scored at the segmental level, for example, according to character or character group segments of the text hypothesis. In some embodiments, multiple alternative segmentations are considered for each text hypothesis. In some examples, scores determined in generating the text hypothesis and the segmental score are combined to select an overall text recognition of the image.
摘要翻译：用于文本识别的方法包括为图像生成多个文本假设，例如，使用基于HMM的方法使用固定宽度分析特征。对于每个文本假设，生成一个或多个分段，并在分段级别进行评分，例如，根据文本假设的字符或字符组段。在一些实施例中，针对每个文本假设考虑多个替代分割。在一些示例中，组合生成文本假设和分段得分时确定的分数，以选择图像的整体文本识别。

3. 发明申请

US20100310172A1 SEGMENTAL RESCORING IN TEXT RECOGNITION 有权
标题翻译：文本识别中的部分重读
公开(公告)号：US20100310172A1
公开(公告)日：2010-12-09
申请号：US12477582
申请日：2009-06-03
申请人： Premkumar Natarajan , Rohit Prasad , Richard Schwartz , Krishnakumar Subramanian
发明人： Premkumar Natarajan , Rohit Prasad , Richard Schwartz , Krishnakumar Subramanian
IPC分类号： G06K9/00
CPC分类号： G06K9/6842 , G06K9/00865 , G06K9/6292 , G06K2209/01
摘要： A method for text recognition includes generating a number of text hypotheses for an image, for example, using an HMM based approach using fixed-width analysis features. For each text hypothesis, one or more segmentations are generated and scored at the segmental level, for example, according to character or character group segments of the text hypothesis. In some embodiments, multiple alternative segmentations are considered for each text hypothesis. In some examples, scores determined in generating the text hypothesis and the segmental score are combined to select an overall text recognition of the image.
摘要翻译：用于文本识别的方法包括为图像生成多个文本假设，例如，使用基于HMM的方法使用固定宽度分析特征。对于每个文本假设，生成一个或多个分段，并在分段级别进行评分，例如，根据文本假设的字符或字符组段。在一些实施例中，针对每个文本假设考虑多个替代分割。在一些示例中，组合生成文本假设和分段得分时确定的分数，以选择图像的整体文本识别。

4. 发明授权

US09218252B1 Techniques for performing data validation 有权
标题翻译：执行数据验证的技术
公开(公告)号：US09218252B1
公开(公告)日：2015-12-22
申请号：US13431409
申请日：2012-03-27
申请人： Pradyumna Revur , Krishnakumar Subramanian , Subbulakshmi Premkumar , Sriram Krishnan , Russell Laporte , Yuanjie Wu , James F. Britton
发明人： Pradyumna Revur , Krishnakumar Subramanian , Subbulakshmi Premkumar , Sriram Krishnan , Russell Laporte , Yuanjie Wu , James F. Britton
IPC分类号： G06F7/00 , G06F17/00 , G06F11/14
CPC分类号： G06F17/30371 , G06F11/004 , G06F11/1469 , G06F17/30575 , G06F2201/84 , H04L67/1095
摘要： Described are techniques for processing a request from a client. Validation processing is performed to determine whether any restrictions are violated. With respect to two associated objects for a logical device and its snapshot, a business logical provider may perform runtime checks regarding the two associated objects of the same or different frameworks to ensure a valid state exists with respect to the requested operation on the two associated objects. For example, the request may be to restore a logical device to its previous snapshot and the restrictions may indicate to not perform the restore if the logical device is in an active mirroring relationship, a source of an active migration, or if the snapshot has expired. The request may be to destroy the logical device which is included in a consistency group and a restriction indicates that a logical device included in a consistency group may not be destroyed.
摘要翻译：描述了用于处理来自客户端的请求的技术。执行验证处理以确定是否违反任何限制。关于逻辑设备和其快照的两个相关联的对象，业务逻辑提供者可以执行关于相同或不同框架的两个关联对象的运行时间检查，以确保相对于两个关联对象上的请求操作存在有效状态。例如，请求可能是将逻辑设备恢复到其先前的快照，并且如果逻辑设备处于活动镜像关系，主动迁移的来源或者快照已经到期，则限制可能指示不执行恢复。该请求可能是破坏包含在一致性组中的逻辑设备，并且限制指示包括在一致性组中的逻辑设备可能不被销毁。

5. 发明授权

US09158828B1 Techniques using associated object properties 有权
标题翻译：使用相关对象属性的技术
公开(公告)号：US09158828B1
公开(公告)日：2015-10-13
申请号：US13329469
申请日：2011-12-19
申请人： James F. Britton , Sriram Krishnan , Yuanjie Wu , Pradyumna Revur , Krishnakumar Subramanian , Subbulakshmi Premkumar , Russell R. Laporte
发明人： James F. Britton , Sriram Krishnan , Yuanjie Wu , Pradyumna Revur , Krishnakumar Subramanian , Subbulakshmi Premkumar , Russell R. Laporte
IPC分类号： G06F17/30
CPC分类号： G06F17/30575
摘要： Described are techniques for processing a request received at a business logic provider from a client. The request includes a snapshot identifier uniquely identifying a snapshot having a snapshot object in a first data model and requests properties of a storage device providing a data source for the snapshot identified by the snapshot identifier. The snapshot object is requested from, and returned by, a snapshot provider. The business logic provider requests, from a storage device provider using a first property of the snapshot object, a storage device object corresponding to the storage device identified by the first property. The storage device provider returns the storage device object to the business logic provider. The storage device object is then returned to the client.
摘要翻译：描述了用于处理从客户端在业务逻辑提供者处接收到的请求的技术。该请求包括唯一地标识在第一数据模型中具有快照对象的快照的快照标识符，并且请求提供由快照标识符标识的快照的数据源的存储设备的属性。快照对象被快照提供者请求并由快照提供者返回。业务逻辑提供者从使用快照对象的第一属性的存储设备提供商请求与由第一属性标识的存储设备相对应的存储设备对象。存储设备提供商将存储设备对象返回给业务逻辑提供者。然后将存储设备对象返回给客户端。

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