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1. 发明授权

US09110923B2 Ranking over hashes 有权
标题翻译：哈希排名
公开(公告)号：US09110923B2
公开(公告)日：2015-08-18
申请号：US13040168
申请日：2011-03-03
申请人： Yangli Hector Yee , Sergey Ioffe , Samy Bengio
发明人： Yangli Hector Yee , Sergey Ioffe , Samy Bengio
IPC分类号： G06F17/30 , G06F15/16
CPC分类号： G06F17/30247 , G06F17/3028
摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training an image ranking model to rank images based on hashes of their contents using a lookup table. An image training set is received. An image ranking model is trained with the training set by generating an image hash for each image of the ordered pair of images based on one or more features extracted from the image, computing a first score for a first image hash of a first image of the pair and a second score for a second image hash of a second image of the pair using the image ranking model, determining whether to update the image ranking model based on the first score and the second score, and updating the image ranking model using an update value based on the first score and the second score.
摘要翻译：方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于训练图像排序模型以使用查找表基于其内容的散列来对图像进行排序。接收图像训练集。基于从图像提取的一个或多个特征，通过为所述有序对图像的每个图像生成图像散列来训练图像排序模型，所述图像排序模型通过针对所述图像的第一图像的第一图像散列计算第一分数，并且使用所述图像排序模型对所述对的第二图像的第二图像散列进行第二分数，基于所述第一分数和所述第二分数来确定是否更新所述图像排序模型，以及使用更新来更新所述图像排名模型基于第一分和第二分的价值。

2. 发明授权

US08478052B1 Image classification 有权
公开(公告)号：US08478052B1
公开(公告)日：2013-07-02
申请号：US12505240
申请日：2009-07-17
申请人： Yangli Hector Yee , Samy Bengio , Charles Rosenberg , Erik Murphy-Chutorian
发明人： Yangli Hector Yee , Samy Bengio , Charles Rosenberg , Erik Murphy-Chutorian
IPC分类号： G06K9/66
CPC分类号： G06F17/30253 , G06F17/30244 , G06F17/30864 , G06K9/4676 , G06K9/6256 , G06K9/66 , G06K2209/01
摘要： An image classification system trains an image classification model to classify images relative to text appearing with the images. Training images are iteratively selected and classified by the image classification model according to feature vectors of the training images. An independent model is trained for unique n-grams of text. The image classification system obtains text appearing with an image and parses the text into candidate labels for the image. The image classification system determines whether an image classification model has been trained for the candidate labels. When an image classification model corresponding to a candidate label has been trained, the image classification subsystem classifies the image relative to the candidate label. The image is labeled based on candidate labels for which the image is classified as a positive image.

3. 发明申请

US20150169633A1 RANKING OVER HASHES 有权
标题翻译：排名靠前
公开(公告)号：US20150169633A1
公开(公告)日：2015-06-18
申请号：US13040168
申请日：2011-03-03
申请人： Yangli Hector Yee , Sergey Ioffe , Samy Bengio
发明人： Yangli Hector Yee , Sergey Ioffe , Samy Bengio
IPC分类号： G06F17/30
CPC分类号： G06F17/30247 , G06F17/3028
摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training an image ranking model to rank images based on hashes of their contents using a lookup table. An image training set is received. An image ranking model is trained with the training set by generating an image hash for each image of the ordered pair of images based on one or more features extracted from the image, computing a first score for a first image hash of a first image of the pair and a second score for a second image hash of a second image of the pair using the image ranking model, determining whether to update the image ranking model based on the first score and the second score, and updating the image ranking model using an update value based on the first score and the second score.
摘要翻译：方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于训练图像排序模型以使用查找表基于其内容的散列来对图像进行排序。接收图像训练集。基于从图像提取的一个或多个特征，通过为所述有序对图像的每个图像生成图像散列来训练图像排序模型，所述图像排序模型通过针对所述图像的第一图像的第一图像散列计算第一分数，并且使用所述图像排序模型对所述对的第二图像的第二图像散列进行第二分数，基于所述第一分数和所述第二分数来确定是否更新所述图像排序模型，以及使用更新来更新所述图像排名模型基于第一分和第二分的价值。

4. 发明授权

US08891858B1 Refining image relevance models 有权
标题翻译：精炼图像相关模型
公开(公告)号：US08891858B1
公开(公告)日：2014-11-18
申请号：US13545222
申请日：2012-07-10
申请人： Arcot J. Preetham , Thomas J. Duerig , Charles J. Rosenberg , Yangli Hector Yee , Samy Bengio
发明人： Arcot J. Preetham , Thomas J. Duerig , Charles J. Rosenberg , Yangli Hector Yee , Samy Bengio
IPC分类号： G06K9/62 , G06K9/46 , G06K9/54
CPC分类号： G06F17/30675 , G06F17/3028 , G06K9/52 , G06K9/6202 , G06K9/6256 , G06K9/6262 , G06K9/6296 , G06K9/66
摘要： Methods, systems and apparatus for refining image relevance models. In general, one aspect of the subject matter described in this specification can be implemented in methods that include re-training an image relevance model by generating a first re-trained model based on content feature values of first images of a first portion of training images in a set of training images, receiving, from the first re-trained model, image relevance scores for second images of a second portion of the set of training images, removing, from the set of training images, some of the second images identified as outlier images for which the image relevance score received from the first re-trained model is below a threshold score, and generating a second re-trained model based on content feature values of the first images of the first portion and the second images of the second portion that remain following removal of the outlier images.
摘要翻译：图像相关模型的方法，系统和装置。通常，本说明书中描述的主题的一个方面可以以包括通过基于训练图像的第一部分的第一图像的内容特征值生成第一重新训练的模型来重新训练图像相关性模型的方法来实现在一组训练图像中，从所述第一重新训练的模型中接收所述训练图像集合的第二部分的第二图像的图像相关性分数，从所述训练图像集合中去除被识别为从第一重新训练的模型接收的图像相关性得分低于阈值分数的异常值图像，并且基于第一部分的第一图像和第二图像的第二图像的内容特征值生成第二重新训练的模型删除离群图像后仍保留的部分。

5. 发明申请

US20150161175A1 ALTERNATIVE IMAGE QUERIES 审中-公开
标题翻译：替代图像查询
公开(公告)号：US20150161175A1
公开(公告)日：2015-06-11
申请号：US12028673
申请日：2008-02-08
申请人： Yangli Hector Yee , Gaurav Garg , Sarah Moussa , Charles Rosenberg , Radhika Malpani
发明人： Yangli Hector Yee , Gaurav Garg , Sarah Moussa , Charles Rosenberg , Radhika Malpani
IPC分类号： G06F17/30
CPC分类号： G06F16/532 , G06F16/2425
摘要： Methods and systems for suggesting alternative image queries for individual image query search results. In one aspect, a method includes displaying a group of one or more image search results for a first image query, each image search result referring to a respective resource and including a link to the respective resource, receiving first input from a user interacting with a first image search result in the group of one or more image search results, and, in response to receiving the first input, displaying one or more suggested second image queries, where each suggested second image query is associated with the first image search result.
摘要翻译：为个别图像查询搜索结果建议替代图像查询的方法和系统。一方面，一种方法包括：显示用于第一图像查询的一个或多个图像搜索结果的组，每个图像搜索结果参考相应的资源，并且包括到相应资源的链接，从与用户交互的用户接收第一输入并且响应于接收到第一输入，显示一个或多个建议的第二图像查询，其中每个建议的第二图像查询与第一图像搜索结果相关联。

6. 发明授权

US09195914B2 Construction zone sign detection 有权
标题翻译：施工区域检测
公开(公告)号：US09195914B2
公开(公告)日：2015-11-24
申请号：US13603615
申请日：2012-09-05
申请人： Nathaniel Fairfield , David Ian Ferguson , Abhijit Ogale , Matthew Wang , Yangli Hector Yee
发明人： Nathaniel Fairfield , David Ian Ferguson , Abhijit Ogale , Matthew Wang , Yangli Hector Yee
IPC分类号： G01C22/00 , G05D1/00 , G06K9/78 , G06K9/00 , B62D6/00 , B60T7/12 , B60W30/10 , B60W30/14 , B60W40/06 , G05D1/02 , B62D15/02 , B60T1/10 , B60T7/18 , B60T7/22 , H04N7/18
CPC分类号： G06K9/78 , B60T1/10 , B60T7/12 , B60T7/18 , B60T7/22 , B60T2201/08 , B60W30/10 , B60W30/143 , B60W40/06 , B60W2420/42 , B60W2550/14 , B60W2550/22 , B62D6/00 , B62D15/025 , B62D15/0255 , B62D15/0265 , G01S7/4802 , G01S7/4808 , G01S13/865 , G01S13/867 , G01S13/931 , G01S17/89 , G01S17/936 , G01S2013/9353 , G01S2013/936 , G05D1/0088 , G05D1/0214 , G05D1/024 , G05D1/0246 , G05D1/0257 , G05D1/027 , G05D1/0278 , G05D2201/0213 , G06K9/00798 , G06K9/00805 , G06K9/00818 , H04N7/18
摘要： Methods and systems for detection of a construction zone sign are described. A computing device, configured to control the vehicle, may be configured to receive, from an image-capture device coupled to the computing device, images of a vicinity of the road on which the vehicle is travelling. Also, the computing device may be configured to determine image portions in the images that may depict sides of the road at a predetermined height range. Further, the computing device may be configured to detect a construction zone sign in the image portions, and determine a type of the construction zone sign. Accordingly, the computing device may be configured to modify a control strategy associated with a driving behavior of the vehicle; and control the vehicle based on the modified control strategy.
摘要翻译：描述了用于检测结构区域符号的方法和系统。被配置为控制车辆的计算设备可以被配置为从耦合到计算设备的图像捕获设备接收车辆行驶的道路附近的图像。此外，计算设备可以被配置为确定可以在预定高度范围处描绘道路的侧面的图像中的图像部分。此外，计算装置可以被配置为检测图像部分中的构造区域标记，并且确定构造区域符号的类型。因此，计算设备可以被配置为修改与车辆的驾驶行为相关联的控制策略; 并根据修改的控制策略控制车辆。

7. 发明授权

US09129227B1 Methods, systems, and media for recommending content items based on topics 有权
标题翻译：基于主题推荐内容的方法，系统和媒体
公开(公告)号：US09129227B1
公开(公告)日：2015-09-08
申请号：US13731266
申请日：2012-12-31
申请人： Yangli Hector Yee , James Vincent McFadden , John Kraemer , Dasarathi Sampath
发明人： Yangli Hector Yee , James Vincent McFadden , John Kraemer , Dasarathi Sampath
IPC分类号： G06N99/00 , G06N3/04 , G06F17/30
CPC分类号： G06N99/005 , G06F17/3053 , G06F17/30554 , G06F17/30699 , G06F17/30781 , G06F17/30864 , G06N3/0472 , G06N7/005
摘要： Mechanisms for recommending content items based on topics are provided. In some implementations, a method for recommending content items is provided that includes: determining a plurality of accessed content items associated with a user, wherein each of the plurality of content items is associated with a plurality of topics; determining the plurality of topics associated with each of the plurality of accessed content items; generating a model of user interests based on the plurality of topics, wherein the model implements a machine learning technique to determine a plurality of weights for assigning to each of the plurality of topics; applying the model to determine, for a plurality of content items, a probability that the user would watch a content item of the plurality of content items; ranking the plurality of content items based on the determined probabilities; and selecting a subset of the plurality of content items to recommend to the user based on the ranked content items.
摘要翻译：提供了基于主题推荐内容的机制。在一些实现中，提供了一种用于推荐内容项的方法，包括：确定与用户相关联的多个被访问的内容项，其中所述多个内容项中的每一个与多个主题相关联; 确定与所述多个所访问的内容项中的每一个相关联的所述多个主题; 基于所述多个主题生成用户兴趣的模型，其中所述模型实现机器学习技术以确定用于分配到所述多个主题中的每一个的多个权重; 对于多个内容项目，应用所述模型来确定所述用户将观看所述多个内容项目中的内容项目的概率; 基于所确定的概率对多个内容项进行排序; 以及基于所述排列的内容项目来选择所述多个内容项目的子集以推荐给所述用户。

8. 发明申请

US20140063232A1 Construction Zone Sign Detection 有权
标题翻译：施工区域标志检测
公开(公告)号：US20140063232A1
公开(公告)日：2014-03-06
申请号：US13603615
申请日：2012-09-05
申请人： Nathaniel Fairfield , David Ian Ferguson , Abhijit Ogale , Matthew Wang , Yangli Hector Yee
发明人： Nathaniel Fairfield , David Ian Ferguson , Abhijit Ogale , Matthew Wang , Yangli Hector Yee
IPC分类号： G06K9/78 , H04N7/18
CPC分类号： G06K9/78 , B60T1/10 , B60T7/12 , B60T7/18 , B60T7/22 , B60T2201/08 , B60W30/10 , B60W30/143 , B60W40/06 , B60W2420/42 , B60W2550/14 , B60W2550/22 , B62D6/00 , B62D15/025 , B62D15/0255 , B62D15/0265 , G01S7/4802 , G01S7/4808 , G01S13/865 , G01S13/867 , G01S13/931 , G01S17/89 , G01S17/936 , G01S2013/9353 , G01S2013/936 , G05D1/0088 , G05D1/0214 , G05D1/024 , G05D1/0246 , G05D1/0257 , G05D1/027 , G05D1/0278 , G05D2201/0213 , G06K9/00798 , G06K9/00805 , G06K9/00818 , H04N7/18
摘要： Methods and systems for detection of a construction zone sign are described. A computing device, configured to control the vehicle, may be configured to receive, from an image-capture device coupled to the computing device, images of a vicinity of the road on which the vehicle is travelling. Also, the computing device may be configured to determine image portions in the images that may depict sides of the road at a predetermined height range. Further, the computing device may be configured to detect a construction zone sign in the image portions, and determine a type of the construction zone sign. Accordingly, the computing device may be configured to modify a control strategy associated with a driving behavior of the vehicle; and control the vehicle based on the modified control strategy.
摘要翻译：描述了用于检测结构区域符号的方法和系统。被配置为控制车辆的计算设备可以被配置为从耦合到计算设备的图像捕获设备接收车辆行驶的道路附近的图像。此外，计算设备可以被配置为确定可以在预定高度范围处描绘道路的侧面的图像中的图像部分。此外，计算装置可以被配置为检测图像部分中的构造区域标记，并且确定构造区域符号的类型。因此，计算设备可以被配置为修改与车辆的驾驶行为相关联的控制策略; 并根据修改的控制策略控制车辆。

9. 发明授权

US08515212B1 Image relevance model 有权
公开(公告)号：US08515212B1
公开(公告)日：2013-08-20
申请号：US12505287
申请日：2009-07-17
申请人： Samy Bengio , Erik Murphy-Chutorian , Yangli Hector Yee , Charles Rosenberg
发明人： Samy Bengio , Erik Murphy-Chutorian , Yangli Hector Yee , Charles Rosenberg
IPC分类号： G06F17/30268 , G06K9/66 , G06K9/6256 , G06F17/30265 , G06F17/30244 , G06F17/30247
CPC分类号： G06F17/30256 , G06F17/30271 , G06K9/6223 , G06K9/6262
摘要： Methods, systems, and apparatus, including computer program products, for identifying images relevant to a query are disclosed. An image search subsystem selects images to reference in image search results that are responsive to a query based on an image relevance model that is trained for the query. An independent image relevance model is trained for each unique query that is identified by the image search subsystem. The image relevance models can be applied to images to order image search results obtained for the query. Each relevance model is trained based on content feature values of images that are identified as being relevant to the query (e.g., frequently selected from the image search results) and images that are identified as being relevant to another unique query. The trained model is applied to the content feature values of all known images to generate an image relevance score that can be used to order search results for the query.

10. 发明授权

US08504547B1 Customizing image search for user attributes 有权
公开(公告)号：US08504547B1
公开(公告)日：2013-08-06
申请号：US12108399
申请日：2008-04-23
申请人： Yangli Hector Yee , Charles Rosenberg
发明人： Yangli Hector Yee , Charles Rosenberg
IPC分类号： G06F17/30 , G06F7/00
CPC分类号： G06F17/30864 , G06F17/30244 , G06F17/30268 , G06F17/3053
摘要： Systems, method, and apparatus including computer program products for providing image search results. In some implementations, a method is provided. The method includes receiving from a user a query for images including static images, moving images, and images within multimedia content, identifying at least one of a language attribute and a locale attribute of the user, generating multiple search results, each result corresponding to an image content item that satisfies the query, ordering the search results based at least on click data for image content items that satisfy the query, the click data gathered from users having at least one of the language attribute and the locale attribute, and presenting the ordered search results to the user, including presenting representations of the corresponding image content items.

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