公开(公告)号：US10699165B2

公开(公告)日：2020-06-30

申请号：US15826588

申请日：2017-11-29

Applicant: Palo Alto Research Center Incorporated

Inventor： Matthew A. Shreve ,  Sricharan Kallur Palli Kumar ,  Jin Sun ,  Gaurang R. Gavai ,  Robert R. Price ,  Hoda M. A. Eldardiry

IPC: G06K9/62 ,  G06K9/00 ,  G06T7/55 ,  G06T19/00

Abstract: One embodiment provides a system that facilitates efficient collection of training data. During operation, the system obtains, by a recording device, a first image of a physical object in a scene which is associated with a three-dimensional (3D) world coordinate frame. The system marks, on the first image, a plurality of vertices associated with the physical object, wherein a vertex has 3D coordinates based on the 3D world coordinate frame. The system obtains a plurality of second images of the physical object in the scene while changing one or more characteristics of the scene. The system projects the marked vertices on to a respective second image to indicate a two-dimensional (2D) bounding area associated with the physical object.

公开(公告)号：US20190130219A1

公开(公告)日：2019-05-02

申请号：US15826588

申请日：2017-11-29

Applicant: Palo Alto Research Center Incorporated

Inventor： Matthew A. Shreve ,  Sricharan Kallur Palli Kumar ,  Jin Sun ,  Gaurang R. Gavai ,  Robert R. Price ,  Hoda M. A. Eldardiry

IPC: G06K9/62 ,  G06K9/00 ,  G06T19/00 ,  G06T7/55

CPC classification number: G06K9/6257 ,  G06K9/00201 ,  G06K9/00973 ,  G06K9/6255 ,  G06K9/6262 ,  G06T7/55 ,  G06T19/006 ,  G06T2210/12 ,  G06T2219/004

Abstract: One embodiment provides a system that facilitates efficient collection of training data. During operation, the system obtains, by a recording device, a first image of a physical object in a scene which is associated with a three-dimensional (3D) world coordinate frame. The system marks, on the first image, a plurality of vertices associated with the physical object, wherein a vertex has 3D coordinates based on the 3D world coordinate frame. The system obtains a plurality of second images of the physical object in the scene while changing one or more characteristics of the scene. The system projects the marked vertices on to a respective second image to indicate a two-dimensional (2D) bounding area associated with the physical object.

公开(公告)号：US11200457B2

公开(公告)日：2021-12-14

申请号：US16856646

申请日：2020-04-23

Applicant: Palo Alto Research Center Incorporated

Inventor： Matthew A. Shreve ,  Sricharan Kallur Palli Kumar ,  Jin Sun ,  Gaurang R. Gavai ,  Robert R. Price ,  Hoda M. A. Eldardiry

IPC: G06K9/62 ,  G06K9/00 ,  G06T7/55 ,  G06T19/00

Abstract: One embodiment provides a system that facilitates efficient collection of training data. During operation, the system obtains, by a recording device, a first image of a physical object in a scene which is associated with a three-dimensional (3D) world coordinate frame. The system marks, on the first image, a plurality of vertices associated with the physical object, wherein a vertex has 3D coordinates based on the 3D world coordinate frame. The system obtains a plurality of second images of the physical object in the scene while changing one or more characteristics of the scene. The system projects the marked vertices on to a respective second image to indicate a two-dimensional (2D) bounding area associated with the physical object.

公开(公告)号：US09264442B2

公开(公告)日：2016-02-16

申请号：US13871985

申请日：2013-04-26

Applicant: Palo Alto Research Center Incorporated

Inventor： Evgeniy Bart ,  Juan J. Liu ,  Hoda M. A. Eldardiry ,  Robert R. Price

IPC: H04L29/06

CPC classification number: H04L63/1425

Abstract: One embodiment of the present invention provides a system for multi-domain clustering. During operation, the system collects domain data for at least two domains associated with users, wherein a domain is a source of data describing observable activities of a user. Next, the system estimates a probability distribution for a domain associated with the user. The system also estimates a probability distribution for a second domain associated with the user. Then, the system analyzes the domain data with a multi-domain probability model that includes variables for two or more domains to determine a probability distribution of each domain associated with the probability model and to assign users to clusters associated with user roles.

Abstract translation: 本发明的一个实施例提供了一种用于多域聚类的系统。 在操作期间，系统收集与用户相关联的至少两个域的域数据，其中域是描述用户的可观察活动的数据源。 接下来，系统估计与用户相关联的域的概率分布。 系统还估计与用户相关联的第二域的概率分布。 然后，系统利用包含两个或多个域的变量的多域概率模型分析域数据，以确定与概率模型相关联的每个域的概率分布，并将用户分配给与用户角色相关联的群集。

公开(公告)号：US11972329B2

公开(公告)日：2024-04-30

申请号：US16237439

申请日：2018-12-31

Applicant: Palo Alto Research Center Incorporated

Inventor： Hoda M. A. Eldardiry ,  Ryan A. Rossi

IPC: G06N20/00 ,  G06N5/048

CPC classification number: G06N20/00 ,  G06N5/048

Abstract: A system is provided for facilitating multi-label classification. During operation, the system maintains a set of training vectors. A respective vector represents an object and is associated with one or more labels that belong to a label set. After receiving an input vector, the system determines a similarity value between the input vector and one or more training vectors. The system further determines one or more labels associated with the input vector based on the similarity values between the input vector and the training vectors and their corresponding associated labels.

公开(公告)号：US20200250484A1

公开(公告)日：2020-08-06

申请号：US16856646

申请日：2020-04-23

Applicant: Palo Alto Research Center Incorporated

Inventor： Matthew A. Shreve ,  Sricharan Kallur Palli Kumar ,  Jin Sun ,  Gaurang R. Gavai ,  Robert R. Price ,  Hoda M. A. Eldardiry

IPC: G06K9/62 ,  G06K9/00 ,  G06T7/55 ,  G06T19/00

Abstract: One embodiment provides a system that facilitates efficient collection of training data. During operation, the system obtains, by a recording device, a first image of a physical object in a scene which is associated with a three-dimensional (3D) world coordinate frame. The system marks, on the first image, a plurality of vertices associated with the physical object, wherein a vertex has 3D coordinates based on the 3D world coordinate frame. The system obtains a plurality of second images of the physical object in the scene while changing one or more characteristics of the scene. The system projects the marked vertices on to a respective second image to indicate a two-dimensional (2D) bounding area associated with the physical object.

公开(公告)号：US20220076072A1

公开(公告)日：2022-03-10

申请号：US17527859

申请日：2021-11-16

Applicant: Palo Alto Research Center Incorporated

Inventor： Matthew A. Shreve ,  Sricharan Kallur Palli Kumar ,  Jin Sun ,  Gaurang R. Gavai ,  Robert R. Price ,  Hoda M. A. Eldardiry

IPC: G06K9/62 ,  G06K9/00 ,  G06T7/55 ,  G06T19/00

Abstract: One embodiment provides a system that facilitates efficient collection of training data. During operation, the system obtains, by a recording device, a first image of a physical object in a scene which is associated with a three-dimensional (3D) world coordinate frame. The system marks, on the first image, a plurality of vertices associated with the physical object, wherein a vertex has 3D coordinates based on the 3D world coordinate frame. The system obtains a plurality of second images of the physical object in the scene while changing one or more characteristics of the scene. The system projects the marked vertices on to a respective second image to indicate a two-dimensional (2D) bounding area associated with the physical object.

公开(公告)号：US20170167993A1

公开(公告)日：2017-06-15

申请号：US14969984

申请日：2015-12-15

Applicant: Palo Alto Research Center Incorporated

Inventor： Hoda M. A. Eldardiry ,  Linxia Liao ,  Tomonori Honda ,  Bhaskar Saha ,  Rui Abreu

IPC: G01N25/72

CPC classification number: G01N25/72 ,  G05B13/00 ,  G05B23/024

Abstract: A method and system for detecting fault in a machine. During operation, the system obtains control signals and corresponding sensor data that indicates a condition of the machine. The system determines consistent time intervals for each of the control signals. During a consistent time interval the standard deviation of a respective control signal is less than a respective predetermined threshold. The system aggregates the consistent time intervals to determine aggregate consistent intervals. The system then maps the aggregate consistent intervals to the sensor data to determine time interval segments for the sensor data. The system may generate features based on the sensor data. Each respective feature is generated from a time interval segment of the sensor data. The system trains a classifier using the features, and applies the classifier to additional sensor data indicating a condition of the machine over a period of time to detect a machine fault.

公开(公告)号：US20140244528A1

公开(公告)日：2014-08-28

申请号：US13774873

申请日：2013-02-22

Applicant: PALO ALTO RESEARCH CENTER INCORPORATED

Inventor： Ying Zhang ,  Juan J. Liu ,  Hoda M. A. Eldardiry

IPC: G06Q30/00

CPC classification number: G06Q30/0185 ,  G06Q40/02

Abstract: A fraud-detection system facilitates detecting fraudulent entities by computing weighted fraud-detecting scores for the individual entities. During operation, the system can obtain fraud warnings for a plurality of entities, and for a plurality of fraud types. The system computes, for a respective entity, a fraud-detection score which indicates a normalized cost of fraudulent transactions from the respective entity. The system then determines, from the plurality of entities, one or more anomalous entities whose fraud-detection score indicates anomalous behavior. The system can determine an entity that is likely to be fraudulent by comparing the entity's fraud-detection score to fraud-detection scores for other entities.

Abstract translation: 欺诈检测系统通过计算各个实体的加权欺诈检测分数来便利检测欺诈实体。 在操作期间，系统可以获得针对多个实体的欺诈警告以及多种欺诈类型。 对于相应实体，系统计算指示来自相应实体的欺诈性交易的归一化成本的欺诈检测分数。 系统然后从多个实体确定其欺诈检测分数表示异常行为的一个或多个异常实体。 该系统可以通过将实体的欺诈检测分数与其他实体的欺诈检测分数进行比较来确定可能是欺诈的实体。

公开(公告)号：US12236344B2

公开(公告)日：2025-02-25

申请号：US17207385

申请日：2021-03-19

Applicant: Palo Alto Research Center Incorporated

Inventor： Francisco E. Torres ,  Hoda M. A. Eldardiry

IPC: G06N3/08 ,  G06N3/04

Abstract: Embodiments provide a system and method for performing collaborative learning of machine representations of a concept. During operation, the system can receive a user-specified object associated with a user's concept of interest. The system can compute a similarity score between a target feature vector associated with the user-specified object and a respective feature vector for a set of candidate objects. The system can determine, based on the similarity score, a first subset of candidate objects that satisfy a similarity threshold. The system can receive, via a GUI, a first user-feedback associated with a visual representation of the first subset of candidate objects. The first user-feedback can represent an elaboration of a current user's concept of interest. The system can then modify, based on the first user-feedback, the target feature vector and the similarity function, thereby providing an improved model for machine representations of a current user's concept of interest.