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71. 发明授权

US09792388B2 Pattern extraction apparatus and control method therefor 有权
公开(公告)号：US09792388B2
公开(公告)日：2017-10-17
申请号：US14146371
申请日：2014-01-02
申请人： CANON KABUSHIKI KAISHA
发明人： Takayuki Kawabata
IPC分类号： G06F17/30 , G06K9/62 , G06K9/68 , G06Q30/02
CPC分类号： G06F17/30958 , G06K9/6296 , G06K9/6892 , G06Q30/0201
摘要： A pattern extraction apparatus for extracting a pattern of event occurrence from event time-series data generates an adjacent event graph by fetching adjacent events from the event time-series data, representing each of the adjacent events as a node, connecting the nodes by a directed link having a transition direction between the adjacent events and a weight, representing identical events as a single node, and, if there are a plurality of directed links between identical adjacent events, accumulating weights of the directed links into a single directed link. The pattern extraction apparatus cuts a directed link having an evaluation value smaller than or equal to a predetermined value in the generated adjacent event graph, the expected value being obtained based on the weight of the directed link.

72. 发明授权

US09760544B2 Controlled creation of reports from table views 有权
公开(公告)号：US09760544B2
公开(公告)日：2017-09-12
申请号：US14644025
申请日：2015-03-10
申请人： Addepar, Inc.
发明人： Jason Mirra , Justin D. Ross , Michael Lee Greenbaum
IPC分类号： G06Q40/00 , G06F17/21 , G06Q40/06 , G06F3/048 , G06F3/0481 , G06F3/0484 , G06K9/62 , G06T15/00 , G06F11/32 , G06Q40/08
CPC分类号： G06F17/212 , G06F3/048 , G06F3/0481 , G06F3/04842 , G06F11/323 , G06K9/6296 , G06Q40/00 , G06Q40/06 , G06Q40/08 , G06T15/005
摘要： A method comprising creating and storing a graph having nodes and edges that represent financial assets and accounts in which the assets are held; individuals who own the assets; or legal entities who own the assets; receiving and storing bucketing factors and column factors; traversing the graph and creating a list of a plurality of paths of nodes and edges in the graph; applying the bucketing factors to the paths to result in associating each set among a plurality of sets of the nodes with a different value node among a plurality of value nodes; applying the column factors to the paths and the value nodes to result in associating column result values with the value nodes; creating and causing displaying a table view by forming rows based on the value nodes and forming columns based on the column result values.

73. 发明申请

US20170236008A1 Systems and Methods for Detecting Free-Standing Groups of Individuals 审中-公开
公开(公告)号：US20170236008A1
公开(公告)日：2017-08-17
申请号：US15582385
申请日：2017-04-28
申请人： Disney Enterprises, Inc.
发明人： Marynel Vazquez , Scott Hudson , Aaron Steinfeld
IPC分类号： G06K9/00 , G06T7/70 , G06K9/62
CPC分类号： G06K9/00677 , G06K9/00362 , G06K9/00778 , G06K9/6277 , G06K9/6296 , G06T7/20 , G06T7/70 , G06T2207/10004 , G06T2207/10016 , G06T2207/20076 , G06T2207/30196 , G06T2207/30232 , G06T2207/30241
摘要： There is provided a system and method for grouping a plurality of individuals, each individual of the plurality of individuals having a corresponding transactional segment, the system comprising a memory storing a group identification application, a processor for executing the group identification application to identify an o-space center of a first group, wherein the o-space center is an intersection of a plurality of transactional segments, obtain a non-parametric lower-body orientation probability distribution for each of the plurality of individuals, based on the o-space center, and determine that a first plurality of individuals from the plurality of individuals belong to the first group based on the non-parametric lower-body orientation probability distribution of each individual of the plurality of individuals, wherein each of the first plurality of individuals has a corresponding one of the plurality of transactional segments that intersect with one another.

74. 发明申请

US20170124777A1 METHOD AND APPARATUS FOR BIOLOGICALLY INSPIRED AUTONOMOUS INFRASTRUCTURE MONITORING 审中-公开
公开(公告)号：US20170124777A1
公开(公告)日：2017-05-04
申请号：US15394310
申请日：2016-12-29
申请人： EpiSys Science, Inc.
发明人： Nadeesha Oliver RANASINGHE , Bong Kyun RYU , Wei-Min SHEN
IPC分类号： G07C5/08
CPC分类号： H04L67/12 , G05D1/00 , G05D1/104 , G06K9/00664 , G06K9/6284 , G06K9/6296 , G06K9/6297 , G07C5/02 , G07C5/08 , H04W4/021 , H04W4/023 , H04W24/10 , H04W40/248 , H04W72/0406 , H04W76/11 , H04W76/25 , H04W84/005 , H04W84/18
摘要： A method and apparatus are provided for autonomously detecting and reporting anomalies in actions of an autonomous mobile node, or in behaviors of a swarm of autonomous mobile nodes to an operator. The autonomous mobile node may experience anomalies or unexpected situations due to various failures or external influence (e.g. natural weather phenomena, enemy threats). During a training phase a prediction model and a structured model may be established from measurement data received from one or more sensors of an autonomous mobile node or a swarm of nodes while executing an action or behavior under normal circumstances. A prediction model forecasts the expected outcome of an action or behavior, and structured model helps quantify the similarity of a learned action or behavior to the currently observed situation. Based on the measurement data applicable models can be used for an action or behavior for anomaly detection in the action or behavior.

75. 发明申请

US20170116764A1 DYNAMIC INTERACTION GRAPHS WITH PROBABILISTIC EDGE DECAY 有权
公开(公告)号：US20170116764A1
公开(公告)日：2017-04-27
申请号：US14922095
申请日：2015-10-23
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Andrey Balmin , Peter J. Haas , John Sismanis , Yuanyuan Tian , Wenlei Xie
IPC分类号： G06T11/20
CPC分类号： G06T11/206 , G06K9/6296
摘要： In one general embodiment, a computer-implemented method is provided for analyzing a dynamic graph. The computer-implemented method includes generating two or more sample graphs by sampling edges of a current snapshot of a dynamic graph. Additionally, the computer-implemented method includes generating two or more partial results by executing an algorithm on the sample graphs. Still yet, the computer-implemented method includes combining the partial results, from executing the algorithm on the sample graphs, into a final result.

76. 发明申请

US20170076157A1 Systems and Methods for Detecting Free-Standing Groups of Individuals 有权
标题翻译：检测个体自由组织的系统和方法
公开(公告)号：US20170076157A1
公开(公告)日：2017-03-16
申请号：US14852139
申请日：2015-09-11
申请人： Disney Enterprises, Inc.
发明人： Marynel Vazquez , Scott Hudson , Aaron Steinfeld
IPC分类号： G06K9/00 , G06T7/20 , G06T7/00
CPC分类号： G06K9/00677 , G06K9/00362 , G06K9/00778 , G06K9/6277 , G06K9/6296 , G06T7/20 , G06T7/70 , G06T2207/10004 , G06T2207/10016 , G06T2207/20076 , G06T2207/30196 , G06T2207/30232 , G06T2207/30241
摘要： There is provided a system and method for grouping a plurality of individuals, each individual of the plurality of individuals having a corresponding transactional segment, the system comprising a memory storing a group identification application, a processor for executing the group identification application to identify an o-space center of a first group, wherein the o-space center is an intersection of a plurality of transactional segments, obtain a non-parametric lower-body orientation probability distribution for each of the plurality of individuals, based on the o-space center, and determine that a first plurality of individuals from the plurality of individuals belong to the first group based on the non-parametric lower-body orientation probability distribution of each individual of the plurality of individuals, wherein each of the first plurality of individuals has a corresponding one of the plurality of transactional segments that intersect with one another.
摘要翻译：提供了一种用于对多个个体进行分组的系统和方法，所述多个个体中的每个个体具有对应的事务段，所述系统包括存储组识别应用的存储器，用于执行组识别应用以识别o - 第一组的空间中心，其中所述o空间中心是多个事务段的交集，基于所述o空间中心获得所述多个个体中的每一个的非参数下身定向概率分布并且基于所述多个个体中的每个个体的非参数下身定向概率分布，确定来自所述多个个体的第一组个体属于所述第一组，其中，所述第一组个体中的每一个具有相互交叉的多个事务段中的相应一个。

77. 发明申请

US20170046602A1 LEARNING TEMPORAL PATTERNS FROM ELECTRONIC HEALTH RECORDS 审中-公开
标题翻译：从电子健康记录学习时间模式
公开(公告)号：US20170046602A1
公开(公告)日：2017-02-16
申请号：US14921365
申请日：2015-10-23
申请人： International Business Machines Corporation
发明人： Jianying Hu , Yajuan Wang , Fei Wang
IPC分类号： G06K9/62 , G06T11/20
CPC分类号： G06K9/6296 , G06K2209/05 , G06T11/206
摘要： In one embodiment, a computer-implemented method includes transforming a plurality of electronic health records into a plurality of temporal graphs indicating an order in which events observed in the plurality of electronic health records occur and learning a temporal pattern from the plurality of temporal graphs, wherein the temporal pattern indicates an order of events that is observed to occur repeatedly across the plurality of temporal graphs.
摘要翻译：在一个实施例中，计算机实现的方法包括将多个电子健康记录变换成指示在多个电子健康记录中观察到的事件发生的顺序的多个时间图形，并从多个时间图形学习时间模式，其中所述时间模式指示观察到在多个时间图上重复发生的事件的顺序。

78. 发明申请

US20170011273A1 LEXICON-FREE, MATCHING-BASED WORD-IMAGE RECOGNITION 有权
标题翻译：无自由，基于匹配的字图识别
公开(公告)号：US20170011273A1
公开(公告)日：2017-01-12
申请号：US14794479
申请日：2015-07-08
申请人： Xerox Corporation
发明人： Albert Gordo Soldevila , Jon Almazan
IPC分类号： G06K9/18 , G06F17/27
CPC分类号： G06K9/18 , G06K9/00852 , G06K9/6296 , G06K9/6885 , G06K9/723 , G06K2209/01
摘要： Methods and systems recognize alphanumeric characters in an image by computing individual representations of every character of an alphabet at every character position within a certain word transcription length. These methods and systems embed the individual representations of each alphabet character in a common vectorial subspace (using a matrix) and embed a received image of an alphanumeric word into the common vectorial subspace (using the matrix). Such methods and systems compute the utility value of the embedded alphabet characters at every one of the character positions with respect to the embedded alphanumeric character image; and compute the best transcription alphabet character of every one of the image characters based on the utility value of each embedded alphabet character at each character position. Such methods and systems then assign the best transcription alphabet character for each of the character positions to produce a recognized alphanumeric word within the received image.
摘要翻译：方法和系统通过计算特定单词转录长度内的每个字符位置处的字母表的每个字符的各个表示来识别图像中的字母数字字符。这些方法和系统将每个字母字符的各个表示嵌入公共矢量子空间（使用矩阵），并将接收到的字母数字字的图像嵌入公共矢量子空间（使用矩阵）。这样的方法和系统相对于嵌入的字母数字字符图像计算每个字符位置处的嵌入字母表字符的效用值; 并且基于每个字符位置处的每个嵌入字母表的效用值来计算每个图像字符的最佳转录字母字符。这样的方法和系统然后为每个字符位置分配最佳的转录字母字符，以在接收的图像内产生公认的字母数字字。

79. 发明申请

US20160379041A1 FACE RECOGNITION METHOD AND APPARATUS 审中-公开
标题翻译：脸部识别方法和装置
公开(公告)号：US20160379041A1
公开(公告)日：2016-12-29
申请号：US15188437
申请日：2016-06-21
申请人： Samsung Electronics Co., Ltd.
发明人： Seon Min RHEE , Jungbae KIM , Byungin YOO , Jaejoon HAN , Seungju HAN
IPC分类号： G06K9/00 , G06K9/62 , G06T15/20
CPC分类号： G06K9/00275 , G06K9/00208 , G06K9/00248 , G06K9/00288 , G06K9/6271 , G06K9/6296 , G06T15/04 , G06T19/20 , G06T2219/2021
摘要： Face recognition of a face, to determine whether the face correlates with an enrolled face, may include generating a personalized three-dimensional (3D) face model based on a two-dimensional (2D) input image of the face, acquiring 3D shape information and a normalized 2D input image of the face based on the personalized 3D face model, generating feature information based on the 3D shape information and pixel color values of the normalized 2D input image, and comparing the feature information with feature information associated with the enrolled face. The feature information may include first and second feature information generated based on applying first and second deep neural network models to the pixel color values of the normalized 2D input image and the 3D shape information, respectively. The personalized 3D face model may be generated based on transforming a generic 3D face model based on landmarks detected in the 2D input image.
摘要翻译：面部识别，以确定面部与登记面部相关是否可以包括基于面部的二维（2D）输入图像生成个性化三维（3D）面部模型，获取3D形状信息和基于个性化3D脸部模型的面部的归一化2D输入图像，基于3D形状信息和归一化2D输入图像的像素颜色值生成特征信息，以及将特征信息与与注册面相关联的特征信息进行比较。特征信息可以包括基于将第一和第二深层神经网络模型应用于归一化2D输入图像和3D形状信息的像素颜色值而生成的第一和第二特征信息。可以基于基于在2D输入图像中检测到的地标来变换通用3D脸部模型来生成个性化3D脸部模型。

80. 发明授权

US09501723B2 Method of classifying objects in scenes 有权
标题翻译：场景中物体分类的方法
公开(公告)号：US09501723B2
公开(公告)日：2016-11-22
申请号：US14579950
申请日：2014-12-22
申请人： CANON KABUSHIKI KAISHA
发明人： Min Sub Kim
IPC分类号： G06K9/62 , G06K9/00
CPC分类号： G06K9/6296 , G06K9/00624
摘要： A method for classifying objects in a scene captured by a camera determines a likelihood of first set of states for the objects. Each first set is a classification of one of the objects, and partitions a solution space based on the determined likelihood of the first set of states, each partition representing combinations of the classifications of the objects. The partitioning is applied to a solution space of a second set of states, each partition representing combinations of the classifications of a subset of the objects. The method determines a likelihood of the second set of states for the subset of the objects, each state of the second set of states being a classification of one of the subset of objects, and classifies a subset of objects according to the determined likelihood of the second set of states and the partitioning of the second set of states.
摘要翻译：用于分类由相机拍摄的场景中的对象的方法确定对象的第一组状态的可能性。每个第一集合是对象之一的分类，并且基于所确定的第一状态集合的可能性来划分解空间，每个分区表示对象的分类的组合。分区被应用于第二组状态的解空间，每个分区表示对象子集的分类的组合。该方法确定对象的子集的第二状态集合的可能性，第二状态集合的每个状态是对象子集之一的分类，并且根据所确定的对象的可能性对对象的子集进行分类第二组状态和第二组状态的分割。

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