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1. 发明申请

US20140050374A1 USING RELEVANCE FEEDBACK IN FACE RECOGNITION 有权
标题翻译：在面部识别中使用相关反馈
公开(公告)号：US20140050374A1
公开(公告)日：2014-02-20
申请号：US14061522
申请日：2013-10-23
申请人： AOL Inc.
发明人： Keren O. Perlmutter , Sharon M. Perlmutter , Joshua Alspector , Mark Everingham , Alex Holub , Andrew Zisserman , Pietro Perona
IPC分类号： G06K9/00
CPC分类号： G06K9/00288 , G06F17/30256 , G06K9/00281 , G06K9/6261 , G06K9/6263 , G11B27/105 , G11B27/28
摘要： Images are searched to locate faces that are the same as a query face. Images that include a face that is the same as the query face may be presented to a user as search result images. Images also may be sorted by the faces included in the images and presented to the user as sorted search result images. The user may provide explicit or implicit feedback regarding the search result images. Additional feedback may be inferred regarding the search result images based on the user-provided feedback, and the results may be updated based on the user-provided and inferred feedback.
摘要翻译：搜索图像以查找与查询面相同的面。包括与查询面相同的面部的图像可以作为搜索结果图像呈现给用户。图像也可以通过包括在图像中的面部进行排序，并且作为排序的搜索结果图像呈现给用户。用户可以提供关于搜索结果图像的显式或隐含的反馈。可以基于用户提供的反馈来推测关于搜索结果图像的附加反馈，并且可以基于用户提供的和推断的反馈来更新结果。

2. 发明授权

US09270625B2 Online adaptive filtering of messages 有权
标题翻译：在线自适应过滤消息
公开(公告)号：US09270625B2
公开(公告)日：2016-02-23
申请号：US14452224
申请日：2014-08-05
申请人： AOL INC.
发明人： Joshua Alspector , Aleksander Kolcz
IPC分类号： G06F15/16 , G06F15/173 , H04L12/58 , G06F17/30
CPC分类号： H04L51/12 , G06F17/30707 , G06Q10/107 , H04L51/28
摘要： In general, a two or more stage spam filtering system is used to filter spam in an e-mail system. One stage includes a global e-mail classifier that classifies e-mail as it enters the e-mail system. The parameters of the global e-mail classifier generally may be determined by the policies of e-mail system owner and generally are set to only classify as spam those e-mails that are likely to be considered spam by a significant number of users of the e-mail system. Another stage includes personal e-mail classifiers at the individual mailboxes of the e-mail system users. The parameters of the personal e-mail classifiers generally are set by the users through retraining, such that the personal e-mail classifiers are refined to track the subjective perceptions of their respective user as to what e-mails are spam e-mails. Retraining data for the personal e-mail classifiers may be aggregated and a subset of the aggregate may be chosen for use in retraining the global e-mail classifier.
摘要翻译：一般来说，两个或更多阶段的垃圾邮件过滤系统用于过滤电子邮件系统中的垃圾邮件。一个阶段包括一个全球电子邮件分类器，用于在电子邮件进入电子邮件系统时进行分类。全球电子邮件分类器的参数通常可以由电子邮件系统所有者的策略确定，并且通常被设置为仅将那些可能被许多用户认为是垃圾邮件的电子邮件分类为垃圾邮件电子邮件系统。另一个阶段包括在电子邮件系统用户的个人邮箱中的个人电子邮件分类器。个人电子邮件分类器的参数通常由用户通过再培训设置，使得个人电子邮件分类器被改进以跟踪其相应用户对于垃圾邮件的电子邮件的主观感知。可以聚合个人电子邮件分类器的再培训数据，并且可以选择聚合的子集用于重新训练全局电子邮件分类器。

3. 发明授权

US09141878B2 Detecting facial similarity based on human perception of facial similarity 有权
标题翻译：基于人类面部相似度的感知来检测面部相似度
公开(公告)号：US09141878B2
公开(公告)日：2015-09-22
申请号：US14013096
申请日：2013-08-29
申请人： AOL Inc. , California Institute of Technology , Isis Innovation Limited
发明人： Sharon M Perlmutter , Keren O Perlmutter , Joshua Alspector , Alex Holub , Mark Everingham , Pietro Perona , Andrew Zisserman
IPC分类号： G06K9/00 , G06K9/62
CPC分类号： G06K9/62 , G06K9/00288 , G06K9/622 , G06K9/6253 , G06K9/6261 , G06K9/6263
摘要： Similar faces may be determined within images based on human perception of facial similarity. The user may provide an image including a query face to which the user wishes to find faces that are similar. Similar faces may be determined based on similarity information. Similarity information may be generated from information related to a human perception of facial similarity. Images that include faces determined to be similar, based on the similarity information, may be provided to the user as search result images. The user then may provide feedback to indicate the user's perception of similarity between the query face and the search result images.
摘要翻译：可以基于人类面部相似度的感知在图像内确定类似的面孔。用户可以提供包括用户希望寻找类似的面部的查询面的图像。可以基于相似度信息来确定类似的面。可以从与人类相似性的感知相关的信息生成相似性信息。可以将基于相似度信息确定为相似的面的图像作为搜索结果图像提供给用户。用户然后可以提供反馈来指示用户对查询面和搜索结果图像之间的相似性的感知。

4. 发明授权

US09773160B2 Using relevance feedback in face recognition 有权
公开(公告)号：US09773160B2
公开(公告)日：2017-09-26
申请号：US14061522
申请日：2013-10-23
申请人： AOL Inc. , California Institute of Technology , Isis Innovation Limited
发明人： Keren O Perlmutter , Sharon M Perlmutter , Joshua Alspector , Mark Everingham , Alex Holub , Andrew Zisserman , Pietro Perona
IPC分类号： G06K9/00 , G06K9/62 , G06F17/30 , G11B27/10 , G11B27/28
CPC分类号： G06K9/00288 , G06F17/30256 , G06K9/00281 , G06K9/6261 , G06K9/6263 , G11B27/105 , G11B27/28
摘要： Images are searched to locate faces that are the same as a query face. Images that include a face that is the same as the query face may be presented to a user as search result images. Images also may be sorted by the faces included in the images and presented to the user as sorted search result images. The user may provide explicit or implicit feedback regarding the search result images. Additional feedback may be inferred regarding the search result images based on the user-provided feedback, and the results may be updated based on the user-provided and inferred feedback.

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