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1. 发明授权

US08396331B2 Generating a multi-use vocabulary based on image data 有权
标题翻译：基于图像数据生成多用词汇
公开(公告)号：US08396331B2
公开(公告)日：2013-03-12
申请号：US11831862
申请日：2007-07-31
申请人： Menglei Jia , Xing Xie , Wei-Ying Ma
发明人： Menglei Jia , Xing Xie , Wei-Ying Ma
IPC分类号： G06K9/54
CPC分类号： G06K9/4676
摘要： Functionality is described for generating a vocabulary from a source dataset of image items or other non-textual items. The vocabulary serves as a tool for retrieving items from a target dataset in response to queries. The vocabulary has at least one characteristic that allows it to be used to retrieve items from multiple different target datasets. A target dataset can have a different size than the source dataset and/or a different type than the source dataset. The enabling characteristic may correspond to a size of the source dataset above a prescribed minimum number of items and/or a size of the vocabulary above a prescribed minimum number of words.
摘要翻译：描述了从图像项目或其他非文本项目的源数据集生成词汇表的功能。词汇表作为从目标数据集中检索项目以响应查询的工具。词汇具有至少一个特性，允许它用于从多个不同的目标数据集中检索项目。目标数据集可以具有与源数据集不同的大小和/或与源数据集不同的类型。启用特性可以对应于高于规定的最小数量的项目的数据源的大小和/或在规定的最小字数之上的词汇的大小。

2. 发明授权

US07813561B2 Automatic classification of objects within images 有权
标题翻译：图像内对象的自动分类
公开(公告)号：US07813561B2
公开(公告)日：2010-10-12
申请号：US11464410
申请日：2006-08-14
申请人： Menglei Jia , Hua Li , Xing Xie , Zheng Chen , Wei-Ying Ma
发明人： Menglei Jia , Hua Li , Xing Xie , Zheng Chen , Wei-Ying Ma
IPC分类号： G06K9/62
CPC分类号： G06K9/4671 , G06F17/30247
摘要： A system for automatically classifying an object of a target image is provided. A classification system provides a collection of classified images along with a classification of the dominant object of the image. The classification system attempts to classify the object of a target image based on similarity of the target image to the classified images. To classify a target image, the classification system identifies the classified images of the collection that are most similar to the target image based on similarity between salient points of the target image and the classified images. The classification system selects a classification associated with the classified images that are most similar to the target image as a classification for the object of the target image.
摘要翻译：提供了一种用于自动分类目标图像的对象的系统。分类系统提供分类图像的集合以及图像的主要对象的分类。分类系统尝试基于目标图像与分类图像的相似性对目标图像的对象进行分类。为了对目标图像进行分类，分类系统基于目标图像的突出点与分类图像之间的相似度来识别与目标图像最相似的集合的分类图像。分类系统选择与目标图像最相似的分类图像相关联的分类作为目标图像的对象的分类。

3. 发明申请

US20080037877A1 AUTOMATIC CLASSIFICATION OF OBJECTS WITHIN IMAGES 有权
标题翻译：在图像中自动分类对象
公开(公告)号：US20080037877A1
公开(公告)日：2008-02-14
申请号：US11464410
申请日：2006-08-14
申请人： Menglei Jia , Hua Li , Xing Xie , Zheng Chen , Wei-Ying Ma
发明人： Menglei Jia , Hua Li , Xing Xie , Zheng Chen , Wei-Ying Ma
IPC分类号： G06K9/62
CPC分类号： G06K9/4671 , G06F17/30247
摘要： A system for automatically classifying an object of a target image is provided. A classification system provides a collection of classified images along with a classification of the dominant object of the image. The classification system attempts to classify the object of a target image based on similarity of the target image to the classified images. To classify a target image, the classification system identifies the classified images of the collection that are most similar to the target image based on similarity between salient points of the target image and the classified images. The classification system selects a classification associated with the classified images that are most similar to the target image as a classification for the object of the target image.
摘要翻译：提供了一种用于自动分类目标图像的对象的系统。分类系统提供分类图像的集合以及图像的主要对象的分类。分类系统尝试基于目标图像与分类图像的相似性对目标图像的对象进行分类。为了对目标图像进行分类，分类系统基于目标图像的突出点与分类图像之间的相似度来识别与目标图像最相似的集合的分类图像。分类系统选择与目标图像最相似的分类图像相关联的分类作为目标图像的对象的分类。

4. 发明申请

US20080205770A1 Generating a Multi-Use Vocabulary based on Image Data 有权
标题翻译：基于图像数据生成多用途词汇
公开(公告)号：US20080205770A1
公开(公告)日：2008-08-28
申请号：US11831862
申请日：2007-07-31
申请人： Menglei Jia , Xing Xie , Wei-Ying Ma
发明人： Menglei Jia , Xing Xie , Wei-Ying Ma
IPC分类号： G06K9/64
CPC分类号： G06K9/4676
摘要： Functionality is described for generating a vocabulary from a source dataset of image items or other non-textual items. The vocabulary serves as a tool for retrieving items from a target dataset in response to queries. The vocabulary has at least one characteristic that allows it to be used to retrieve items from multiple different target datasets. A target dataset can have a different size than the source dataset and/or a different type than the source dataset. The enabling characteristic may correspond to a size of the source dataset above a prescribed minimum number of items and/or a size of the vocabulary above a prescribed minimum number of words.
摘要翻译：描述了从图像项目或其他非文本项目的源数据集生成词汇表的功能。词汇表作为从目标数据集中检索项目以响应查询的工具。词汇具有至少一个特性，允许它用于从多个不同的目标数据集中检索项目。目标数据集可以具有与源数据集不同的大小和/或与源数据集不同的类型。启用特性可以对应于高于规定的最小数量的项目的数据源的大小和/或在规定的最小字数之上的词汇的大小。

5. 发明授权

US08078394B2 Indexing large-scale GPS tracks 有权
标题翻译：索引大型GPS轨道
公开(公告)号：US08078394B2
公开(公告)日：2011-12-13
申请号：US12037263
申请日：2008-02-26
申请人： Longhao Wang , Yu Zheng , Xing Xie , Wei-Ying Ma
发明人： Longhao Wang , Yu Zheng , Xing Xie , Wei-Ying Ma
IPC分类号： G06F17/00
CPC分类号： G06F17/30551 , G06F17/30241 , G06F17/30327 , G06F17/30333
摘要： Described is a technology by which uploaded GPS data is indexed according to spatio-temporal relationships to facilitate efficient insertion and retrieval. The indexes may be converted to significantly smaller-sized data structures when new updates to that structure are not likely. GPS data is processed into a track of spatially-partitioned segments such that each segment has a cell. Each cell has an associated temporal index (a compressed start-end tree), into which data for that cell's segments are inserted. The temporal index may include an end time index that relates each segment's end time to a matching start time index. Given query input comprising a spatial predicate and a temporal predicate, tracks may be searched for by determining which spatial candidate cells may contain matching results. For each candidate cell, the search accesses the cell's associated temporal index to find any track or tracks that correspond to the temporal predicate.
摘要翻译：描述了一种根据时空关系对上传的GPS数据进行索引的技术，以便于有效的插入和检索。当该结构的新更新不太可能时，索引可能会转换为显着更小的数据结构。 GPS数据被处理成空间分割的段的轨道，使得每个段具有一个单元。每个单元都具有关联的时间索引（压缩的开始结束树），该单元格的段的数据被插入到该时间索引中。时间索引可以包括将每个段的结束时间与匹配的开始时间索引相关联的结束时间索引。给定包括空间谓词和时间谓词的查询输入，可以通过确定哪些空间候选小区可以包含匹配结果来搜索轨道。对于每个候选小区，搜索访问小区的相关联的时间索引以找到与时间谓词相对应的任何轨道或轨道。

6. 发明授权

US08073789B2 Method and system for web resource location classification and detection 有权
标题翻译： Web资源位置分类和检测方法与系统
公开(公告)号：US08073789B2
公开(公告)日：2011-12-06
申请号：US12539555
申请日：2009-08-11
申请人： Chuang Wang , Wei-Ying Ma , Xing Xie
发明人： Chuang Wang , Wei-Ying Ma , Xing Xie
IPC分类号： G06N5/00
CPC分类号： G06F17/3087 , H04L67/02 , H04L67/18 , H04W4/02
摘要： A method and system for identifying locations associated with a web resource is provided. The location system identifies three different types of geographic locations: a provider location, a content location, and a serving location. A provider location identifies the geographic location of the entity that provides the web resource. A content location identifies the geographic location that is the subject of the web resource. A serving location identifies the geographic scope that the web page reaches. An application can select to use the type of location that is of particular interest.
摘要翻译：提供了一种用于识别与web资源相关联的位置的方法和系统。位置系统识别三种不同类型的地理位置：提供者位置，内容位置和服务位置。提供商位置标识提供网络资源的实体的地理位置。内容位置标识作为Web资源主题的地理位置。服务位置标识网页到达的地理范围。应用程序可以选择使用特别感兴趣的位置类型。

7. 发明授权

US07895148B2 Classifying functions of web blocks based on linguistic features 有权
标题翻译：基于语言特征分类网页功能
公开(公告)号：US07895148B2
公开(公告)日：2011-02-22
申请号：US11742283
申请日：2007-04-30
申请人： Wei-Ying Ma , Xiangye Xiao , Xing Xie
发明人： Wei-Ying Ma , Xiangye Xiao , Xing Xie
IPC分类号： G06N5/00
CPC分类号： G06Q10/10
摘要： A classification system trains a classifier to classify blocks of the web page into various classifications of the function of the block. The classification system trains a classifier using training web pages. To train a classifier, the classification system identifies the blocks of the training web pages, generates feature vectors for the blocks that include a linguistic feature, and inputs classification labels for each block. The classification system learns the coefficients of the classifier using any of a variety of machine learning techniques. The classification system can then use the classifier to classify blocks of web pages.
摘要翻译：分类系统训练分类器将网页的块分类为块的功能的各种分类。分类系统使用训练网页训练分类器。为了训练分类器，分类系统识别训练网页的块，为包括语言特征的块生成特征向量，并为每个块输入分类标签。分类系统使用各种机器学习技术中的任何一种学习分类器的系数。然后，分类系统可以使用分类器对网页块进行分类。

8. 发明申请

US20100179759A1 Detecting Spatial Outliers in a Location Entity Dataset 有权
标题翻译：在位置实体数据集中检测空间异常值
公开(公告)号：US20100179759A1
公开(公告)日：2010-07-15
申请号：US12353940
申请日：2009-01-14
申请人： Yu Zheng , Jianqiao Feng , Xing Xie , Wei-Ying Ma
发明人： Yu Zheng , Jianqiao Feng , Xing Xie , Wei-Ying Ma
IPC分类号： G06F17/00
CPC分类号： G01S19/40
摘要： Disclosed herein are one or more embodiments that arrange a plurality of location entities into a hierarchy of location descriptors. One or more of the disclosed embodiments may determine whether one of the location entities is a spatial outlier based at least in part on presence of one or more other location entities within a predetermined distance of the one location entity. Also, the other location entities and the one location entity may share a location descriptor.
摘要翻译：这里公开了将多个位置实体排列成位置描述符的层次结构的一个或多个实施例。所公开的实施例中的一个或多个可以至少部分地基于一个位置实体的预定距离内的一个或多个其他位置实体的存在来确定位置实体之一是否是空间异常值。此外，其他位置实体和一个位置实体可以共享位置描述符。

9. 发明申请

US20100153292A1 Making Friend and Location Recommendations Based on Location Similarities 审中-公开
标题翻译：基于位置相似性建立朋友和位置建议
公开(公告)号：US20100153292A1
公开(公告)日：2010-06-17
申请号：US12332371
申请日：2008-12-11
申请人： Yu Zheng , Xing Xie , Wei-Ying Ma
发明人： Yu Zheng , Xing Xie , Wei-Ying Ma
IPC分类号： G06Q99/00
CPC分类号： G06Q30/02 , G06Q30/0261 , G06Q30/0282 , G06Q50/01
摘要： Method for making a recommendation to a first user in a computing network, including calculating one or more similarity scores between the first user and one or more remaining users in the network, identifying a portion of the remaining users having a highest similarity scores, identifying one or more locations visited by the portion of the remaining users but not by the first user, determining an interest level of the first user in each location, ranking the locations based on the interest levels, and displaying the locations based on the ranking as a first recommendation.
摘要翻译：一种用于向计算网络中的第一用户推荐的方法，包括计算所述第一用户与所述网络中的一个或多个剩余用户之间的一个或多个相似度得分，识别具有最高相似性得分的剩余用户的一部分，或多个由剩余用户的部分而不是由第一用户访问的位置，确定每个位置中的第一用户的兴趣级别，基于兴趣级别对位置进行排名，并且基于排名将位置显示为第一建议。

10. 发明申请

US20100010945A1 METHOD AND SYSTEM FOR WEB RESOURCE LOCATION CLASSIFICATION AND DETECTION 有权
标题翻译：网页资源位置分类与检测方法与系统
公开(公告)号：US20100010945A1
公开(公告)日：2010-01-14
申请号：US12539555
申请日：2009-08-11
申请人： Chuang Wang , Wei-Ying Ma , Xing Xie
发明人： Chuang Wang , Wei-Ying Ma , Xing Xie
IPC分类号： G06F15/18 , G06F15/16 , G06N5/02
CPC分类号： G06F17/3087 , H04L67/02 , H04L67/18 , H04W4/02
摘要： A method and system for identifying locations associated with a web resource is provided. The location system identifies three different types of geographic locations: a provider location, a content location, and a serving location. A provider location identifies the geographic location of the entity that provides the web resource. A content location identifies the geographic location that is the subject of the web resource. A serving location identifies the geographic scope that the web page reaches. An application can select to use the type of location that is of particular interest.
摘要翻译：提供了一种用于识别与web资源相关联的位置的方法和系统。位置系统识别三种不同类型的地理位置：提供者位置，内容位置和服务位置。提供商位置标识提供网络资源的实体的地理位置。内容位置标识作为Web资源主题的地理位置。服务位置标识网页到达的地理范围。应用程序可以选择使用特别感兴趣的位置类型。

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