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1. 发明申请

WO2013137886A1 TWO-LEVEL CHUNKING FOR DATA ANALYTICS 审中-公开
标题翻译：数据分析的两级重排
公开(公告)号：WO2013137886A1
公开(公告)日：2013-09-19
申请号：PCT/US2012/029275
申请日：2012-03-15
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , WANG, Lei , YANG, Jun , YAN, Jiaqi , WANG, Min
发明人： WANG, Lei , YANG, Jun , YAN, Jiaqi , WANG, Min
IPC分类号： G06F17/30 , G06F17/40
CPC分类号： G06F17/30336 , G06F17/16 , G06F17/30294
摘要： Two-level chunking for data analytics is disclosed. An example method includes dividing an array into fixed-size chunks. The method also includes dynamically combining the fixed-size chunks into a super-chunk, wherein a size of the super-chunk is based on parameters of a subsequent operation.
摘要翻译：披露了用于数据分析的两级分组。示例性方法包括将数组划分成固定大小的块。该方法还包括将固定大小的块动态地组合成超块，其中超块的大小基于后续操作的参数。

2. 发明申请

WO2013013335A1 AUTOMATED DOCUMENT COMPOSITION USING CLUSTERS 审中-公开
标题翻译：使用群集的自动文档组合
公开(公告)号：WO2013013335A1
公开(公告)日：2013-01-31
申请号：PCT/CN2011/001203
申请日：2011-07-22
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , PEREIRA, Jose Bento Ayres , LIU, Keyan , WANG, Lei , DAMERA-VENKATA, Niranjan
发明人： PEREIRA, Jose Bento Ayres , LIU, Keyan , WANG, Lei , DAMERA-VENKATA, Niranjan
IPC分类号： G06F17/30
CPC分类号： G06F17/248 , G06F17/3089
摘要： Systems and methods of automated document composition using clusters are disclosed. In an example, a method comprises determining a plurality of composition scores Φ i ( Α , Β ), the composition scores each computing separately on a plurality of worker nodes in the cluster. The method also includes determining coefficients (τ i )( A ) at a master node in the cluster based on the composition scores (Φ i ) from each of the worker nodes. The method also includes outputting an optimal document (D*) using the coefficients (τ i ).
摘要翻译：公开了使用群集的自动文档组合的系统和方法。在一个示例中，一种方法包括确定多个组合分数F i（α，β），组合分数各自在集群中的多个工作节点上单独计算。该方法还包括基于来自每个工作节点的组成分数（F i）来确定集群中主节点处的系数（t i）（A）。该方法还包括使用系数（t i）输出最佳文档（D *）。

3. 发明申请

WO2013013336A1 PROCESSING IMAGES STORED BY A PLURALITY OF INDEPENDENT ONLINE IMAGE REPOSITORIES 审中-公开
标题翻译：处理由多个独立的在线图像记录存储的图像
公开(公告)号：WO2013013336A1
公开(公告)日：2013-01-31
申请号：PCT/CN2011/001204
申请日：2011-07-22
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , LIU, Keyan , ZHANG, Tong , WANG, Lei , WANG, Qinlong
发明人： LIU, Keyan , ZHANG, Tong , WANG, Lei , WANG, Qinlong
IPC分类号： G06T7/00 , H04L29/00
CPC分类号： G06F17/3028
摘要： Processing images stored by a plurality of independent online image repositories (110-1 to 110-N) includes retrieving a stream (230-1, 230-2) of images from each of the online image repositories (110-1 to 110-N) in parallel using credentials (225) received from a user for each of the online image repositories (110-1 to 110-N); assigning each image received in any of the streams (230-1, 230-2) to one of a plurality of parallel processing nodes (515-1 to 515-N) for content-based analysis; and storing results of the content-based analysis in a distributed file system (505).
摘要翻译：处理由多个独立在线图像存储库（110-1至110-N）存储的图像包括从每个在线图像存储库（110-1至110-N）检索图像的流（230-1,230-2））并行地使用从每个在线图像存储库（110-1至110-N）的用户接收的凭证（225）; 将在任何流（230-1,230-2）中接收的每个图像分配给多个并行处理节点（515-1至515-N）之一用于基于内容的分析; 以及将所述基于内容的分析的结果存储在分布式文件系统（505）中。

4. 发明申请

WO2011088624A1 DATA PROCESSING SYSTEM AND METHOD 审中-公开
标题翻译：数据处理系统和方法
公开(公告)号：WO2011088624A1
公开(公告)日：2011-07-28
申请号：PCT/CN2010/070347
申请日：2010-01-25
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY,L.P. , TANG, Liang , LI, Shan-Qing , WANG, Lei , LIU, Ke-Yan , LIU, Wei
发明人： TANG, Liang , LI, Shan-Qing , WANG, Lei , LIU, Ke-Yan , LIU, Wei
IPC分类号： G06K9/00
CPC分类号： G06T7/246
摘要： Embodiments of the present invention relate to a data processing method comprising the steps of processing a first sample set associated with first results of tracking a target in a number of image frames using a first object classifier arranged to operate according to a first feature and processing a second sample set associated with second results of tracking the target in said number of image frames using a second object classifier arrange to operate according to a second feature, and using at least one of the first and second tracking results to influence at least one particle filter adapted to influence at least one of subsequent first and second tracking results.
摘要翻译：本发明的实施例涉及一种数据处理方法，包括以下步骤：使用布置为根据第一特征进行操作的第一对象分类器来处理与在多个图像帧中跟踪目标的第一结果相关联的第一样本集，并处理第二样本集合，其与使用安排按照第二特征进行操作的第二对象分类器相关联地跟踪所述数量的图像帧中的目标的第二结果，以及使用第一和第二跟踪结果中的至少一个来影响至少一个粒子滤波器适于影响随后的第一和第二跟踪结果中的至少一个。

5. 发明申请

WO2014153776A1 QUERY FEATURES AND QUESTIONS 审中-公开
标题翻译：查询功能和问题
公开(公告)号：WO2014153776A1
公开(公告)日：2014-10-02
申请号：PCT/CN2013/073467
申请日：2013-03-29
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
发明人： WANG, Lei , PAN, Ye , CHEN, Shimin , FANG, Hui , FENG, Shicong
IPC分类号： G06F17/30
CPC分类号： G06F17/30448 , G06F17/2785 , G06F17/30528 , G06F17/30654 , G06F17/30867
摘要： Disclosed herein are techniques for detecting questions in queries. It is determined whether a query comprises a substantially specific question. In one example, past queries related to the current query are used to validate a whether the query comprises the substantially specific question. In another example, query suggestions are used to validate whether the query comprises the substantially specific question.
摘要翻译：这里公开的是用于在查询中检测问题的技术。确定查询是否包括实质上特定的问题。在一个示例中，与当前查询相关的过去查询用于验证查询是否包括基本上特定的问题。在另一个示例中，使用查询建议来验证查询是否包括基本上特定的问题。

6. 发明申请

WO2014161201A1 KEYWORD SEARCH ON DATABASES 审中-公开
标题翻译：关键字搜索数据库
公开(公告)号：WO2014161201A1
公开(公告)日：2014-10-09
申请号：PCT/CN2013/073768
申请日：2013-04-05
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , WANG, Lei , CHEN, Shimin , GONG, Yi , GUO, Meng
发明人： WANG, Lei , CHEN, Shimin , GONG, Yi , GUO, Meng
IPC分类号： G06F17/30
CPC分类号： G06F17/3053 , G06F17/30011 , G06F17/30336 , G06F17/30389 , G06F17/30498 , G06F17/30522 , G06F17/30675
摘要： Systems and methods for keyword based searching in a database are described herein. In one implementation, the method comprises rec eiving a keyword based query, comprising at least one keyword, from a user. The method further c omprises searching an inverted index associated with the database to detect the presenc e of at least one of the keywords in documents, identified by a document ID, present in the inverted index. Based on the searching, the doc uments in which at least one of the keywords is present are identified. The identified documents are then ranked in a descending order of relevancy.
摘要翻译：本文描述了在数据库中基于关键字搜索的系统和方法。在一个实现中，所述方法包括从用户重新建立包括至少一个关键字的基于关键字的查询。该方法进一步包括搜索与数据库相关联的反向索引以检测由反向索引中存在的文档ID标识的文档中的至少一个关键字的显示。基于搜索，识别存在至少一个关键字的文档。然后，所标识的文档按相关性的降序排列。

7. 发明申请

WO2014063354A1 METHOD FOR SUMMARIZING DOCUMENT 审中-公开
标题翻译：总结文件的方法
公开(公告)号：WO2014063354A1
公开(公告)日：2014-05-01
申请号：PCT/CN2012/083588
申请日：2012-10-26
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , WANG, Lei , WANG, Xun , WANG, Min , ZHANG, Tong , BAI, Bin
发明人： WANG, Lei , WANG, Xun , WANG, Min , ZHANG, Tong , BAI, Bin
IPC分类号： G06F17/21
CPC分类号： G06F17/28 , G06F17/2785 , G06F17/30707 , G06F17/30719 , G06N5/022
摘要： A method for summarizing a document is provided. A concept is detected for each sentence in the document. Relevance measures between the sentences are computed according to the detected concepts. And then a concept-aware graph is constructed, wherein a node in the graph represents a sentence in the document and an edge between two nodes represents a relevance measure between two sentences.
摘要翻译：提供了一种总结文件的方法。检测到文档中每个句子的概念。根据检测到的概念计算句子之间的相关性度量。然后构建概念感知图，其中图中的节点表示文档中的一个句子，两个节点之间的边缘表示两个句子之间的相关性度量。

8. 发明申请

WO2013016837A1 INCREMENTAL IMAGE CLUSTERING 审中-公开
标题翻译：增量图像聚类
公开(公告)号：WO2013016837A1
公开(公告)日：2013-02-07
申请号：PCT/CN2011/001242
申请日：2011-07-29
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , LIU, Keyan , SUN, Xinyun , ZHANG, Tong , WANG, Lei , WANG, Min
发明人： LIU, Keyan , SUN, Xinyun , ZHANG, Tong , WANG, Lei , WANG, Min
IPC分类号： G06K9/00
CPC分类号： G06K9/6218 , G06F17/30247 , G06K9/6219
摘要： Methods, systems, and computer readable media with executable instructions, and/or logic are provided for incremental image clustering. An example method for incremental image clustering can include identifying, via a computing device, a number of candidate nodes from among evaluated leaf image cluster (LIC) nodes on an image cluster tree (ICT) based on a similarity between a feature of a new image and an average feature of each of the evaluated LIC nodes. The evaluated nodes include at least one node along each path from a root node to either a leaf node or a node having a similarity exceeding a first threshold. A most-similar node can be determined, via the computing device, from among the number of candidate nodes. The new image can be inserted to a node associated with the determined most-similar node, via the computing device.
摘要翻译：提供了具有可执行指令和/或逻辑的方法，系统和计算机可读介质用于增量图像聚类。用于增量图像聚类的示例性方法可以包括基于新图像的特征之间的相似性，经由计算设备识别来自图像簇树（ICT）上的评估叶图像簇（LIC）节点中的候选节点的数量以及每个评估的LIC节点的平均特征。评估的节点包括沿着从根节点到叶节点或具有超过第一阈值的相似度的节点的每个路径的至少一个节点。可以通过计算设备从候选节点的数量中确定最相似的节点。可以通过计算设备将新图像插入到与所确定的最相似的节点相关联的节点。

9. 发明申请

WO2011035470A1 PARTICLE TRACKING METHOD AND APPARATUS 审中-公开
标题翻译：粒子跟踪方法和装置
公开(公告)号：WO2011035470A1
公开(公告)日：2011-03-31
申请号：PCT/CN2009/074168
申请日：2009-09-24
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , LIU, Ke-Yan , TANG, Liang , WANG, Lei , LIU, Wei
发明人： LIU, Ke-Yan , TANG, Liang , WANG, Lei , LIU, Wei
IPC分类号： H04N7/18 , G06T7/20
CPC分类号： H04N7/18 , G06T7/277
摘要： A method for tracking an object in a video data, comprises the steps of determining a plurality of particles for estimating a location of the object in the video data, determining a weight for each of the plurality of the particles, wherein the weights of two or more particles are determined substantially in parallel, and estimating the location of the object in the video data based upon the determined particle weights.
摘要翻译：一种用于跟踪视频数据中的对象的方法，包括以下步骤：确定用于估计视频数据中对象的位置的多个粒子，确定多个粒子中的每一个的权重，其中两个或基本上并行地确定更多的粒子，并且基于所确定的粒子权重来估计视频数据中对象的位置。

10. 发明公开

EP2737432A1 INCREMENTAL IMAGE CLUSTERING 审中-公开
标题翻译：增量映像聚类
公开(公告)号：EP2737432A1
公开(公告)日：2014-06-04
申请号：EP11870198.6
申请日：2011-07-29
申请人： Hewlett-Packard Development Company, L.P.
发明人： LIU, Keyan , SUN, Xinyun , ZHANG, Tong , WANG, Lei , WANG, Min
IPC分类号： G06K9/00
CPC分类号： G06K9/6218 , G06F17/30247 , G06K9/6219
摘要： Methods, systems, and computer readable media with executable instructions, and/or logic are provided for incremental image clustering. An example method for incremental image clustering can include identifying, via a computing device, a number of candidate nodes from among evaluated leaf image cluster (LIC) nodes on an image cluster tree (ICT) based on a similarity between a feature of a new image and an average feature of each of the evaluated LIC nodes. The evaluated nodes include at least one node along each path from a root node to either a leaf node or a node having a similarity exceeding a first threshold. A most-similar node can be determined, via the computing device, from among the number of candidate nodes. The new image can be inserted to a node associated with the determined most-similar node, via the computing device.

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