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    • 51. 发明申请
    • Searching Similar Trajectories by Locations
    • 通过位置搜索类似的轨迹
    • US20110301832A1
    • 2011-12-08
    • US12794538
    • 2010-06-04
    • Yu ZhengZaiben ChenXing Xie
    • Yu ZhengZaiben ChenXing Xie
    • G01C21/36
    • G01C21/3484G01C21/26G01C21/3667G06F17/11
    • Techniques for providing a trajectory route to multiple geographical locations of interest are described. This disclosure describes receiving global position system (GPS) logs associated with respective individual devices, each of the GPS logs including trajectories connecting a set of geographical locations previously visited by an individual of a respective individual device. A trajectory route service receives a request for a trajectory connecting a set of geographical locations of interest specified by a user. The trajectory route service calculates a proximal similarity between (1) the set of geographical locations of interest specified by the user, and (2) respective sets of geographical locations from the GPS logs. The trajectory route service constructs the requested trajectory with use of at least one of the trajectories from the GPS logs determined at least in part according to the calculated proximal similarities.
    • 描述了提供到感兴趣的多个地理位置的轨迹路线的技术。 本公开描述了接收与相应单独设备相关联的全球定位系统(GPS)日志,每个GPS日志包括连接先前由相应单独设备的个人访问的一组地理位置的轨迹。 轨迹路线服务接收连接由用户指定的一组感兴趣的地理位置的轨迹的请求。 轨迹路线服务计算(1)由用户指定的感兴趣的地理位置集合和(2)来自GPS日志的各组地理位置之间的近似相似度。 所述轨迹路线服务利用至少部分地根据所计算的近似相似度确定的GPS记录中的至少一个轨迹构建所请求的轨迹。
    • 53. 发明申请
    • Collaborative Location and Activity Recommendations
    • 协作位置和活动建议
    • US20110276565A1
    • 2011-11-10
    • US12773771
    • 2010-05-04
    • Yu ZhengWencheng ZhengXing Xie
    • Yu ZhengWencheng ZhengXing Xie
    • G06F17/30G01C21/00
    • G01C21/20H04W4/029H04W64/00
    • Techniques describe constructing a location and activity recommendation model to identify relationships between locations and activities. To construct the model, the process obtains global positioning system (GPS) logs of geographical locations collected over time and identifies stay points representing locations visited by an individual user. The process also identifies points of interest in a region using a database and correlates a relationship between activity to activity by submitting queries to a search engine. The information gathered is used to fill locations and activities in a location-activity matrix. Recommendations may be made for a location and/or activity when given a user query, based on a user's present geographical location, or a prediction of a user's interest.
    • 技术描述了构建位置和活动推荐模型以识别位置和活动之间的关系。 为了构建模型,该过程获得随时间收集的地理位置的全球定位系统(GPS)日志,并且标识表示个人用户访问的位置的停留点。 该过程还使用数据库识别区域中的兴趣点,并通过向搜索引擎提交查询来将活动与活动之间的关系相关联。 收集的信息用于填充位置活动矩阵中的位置和活动。 当基于用户的当前地理位置给定用户查询或用户兴趣的预测时,可以针对位置和/或活动进行建议。
    • 54. 发明申请
    • RECOMMENDING POINTS OF INTERESTS IN A REGION
    • 建议在一个地区的兴趣点
    • US20110093458A1
    • 2011-04-21
    • US12567667
    • 2009-09-25
    • Yu ZhengChang ShengXing Xie
    • Yu ZhengChang ShengXing Xie
    • G06F7/10G06F17/30
    • G06F17/3087G06F17/30061G06F17/30241G06F17/30327G06F17/3053G06F17/30554G06F17/30589G06F17/30598G06F17/30601G06F17/30622
    • Techniques for searching and providing geographical regions are described. The process searches and recommends points of interests based on a user-specified region. Points of interests include spatial objects (e.g., buildings, landmarks, rivers, parks) and their distributions in a geographical region. The process searches and recommends points of interests by partitioning a spatial map into grids to identify representative categories located in each of the grids. In response to the user-specified region, a set of geographical candidates containing the representative categories is retrieved. The process determines whether the user-specified region and the set of geographical candidates include similar or common representative categories and similar or common spatial distributions of the representative categories. Then the process provides the top ranked set of geographical candidates that have similar content information.
    • 描述了搜索和提供地理区域的技术。 该过程根据用户指定的区域搜索并推荐兴趣点。 兴趣点包括空间物体(如建筑物,地标,河流,公园)及其在地理区域的分布。 该过程通过将空间地图划分为网格来搜索和建议兴趣点,以识别位于每个网格中的代表类别。 响应于用户指定的区域,检索包含代表类别的一组地理候选。 该过程确定用户指定的区域和地理候选的集合是否包括类似或共同的代表类别以及代表类别的类似或共同的空间分布。 然后,该过程提供具有类似内容信息的排名最高的地理候选者集合。
    • 55. 发明授权
    • Classifying functions of web blocks based on linguistic features
    • 基于语言特征分类网页功能
    • US07895148B2
    • 2011-02-22
    • US11742283
    • 2007-04-30
    • Wei-Ying MaXiangye XiaoXing Xie
    • Wei-Ying MaXiangye XiaoXing Xie
    • G06N5/00
    • G06Q10/10
    • 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.
    • 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。
    • 60. 发明申请
    • COHERENT PHRASE MODEL FOR EFFICIENT IMAGE NEAR-DUPLICATE RETRIEVAL
    • 用于高效图像近似重新检索的相关图像模型
    • US20100074528A1
    • 2010-03-25
    • US12236462
    • 2008-09-23
    • Yiqun HuXing Xie
    • Yiqun HuXing Xie
    • G06K9/46
    • G06K9/4671
    • A coherent phrase model for near-duplicate image retrieval enforces coherency across multiple descriptors for every local region. Two types of visual phrase (FCP and SCP) are employed to represent feature and spatial coherency and can be utilized without increasing the computational complexity. The FCP utilizes the information of different features by enforcing the feature coherency across multiple types of descriptors for every local region, and the SCP utilizes spatial information by enforcing the spatial coherency across the spatial neighborhoods of different sizes around every local region. Moreover, the disclosed model improves the matching accuracy by reducing the number of false matches and preserves the matching efficiency because of the sparsity of the representation.
    • 用于近似重复图像检索的连贯短语模型对于每个局部区域在多个描述符之间执行一致性。 采用两种类型的视觉短语(FCP和SCP)来表示特征和空间相关性,可以在不增加计算复杂度的情况下使用。 FCP利用不同特征的信息,通过对每个局部区域实施跨多种描述符的特征相干性,并且SCP通过在每个局部区域周围的不同大小的空间邻域执行空间相干性来利用空间信息。 此外,所公开的模型通过减少假匹配的数量并且由于表示的稀疏性而保持匹配效率来提高匹配精度。