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    System and method for automated surface assessment
    3.
    发明授权
    System and method for automated surface assessment 有权

    公开(公告)号：US11580634B2

    公开(公告)日：2023-02-14

    申请号：US17525295

    申请日：2021-11-12

    申请人： Palo Alto Research Center Incorporated

    发明人： Robert R. Price

    IPC分类号： G06T7/00 ,  G06T7/50 ,  G06N20/20 ,  G06N3/04 ,  G06N3/08 ,  G06T5/50

    摘要： Embodiments described herein provide a system for assessing the surface of an object for detecting contamination or other defects. During operation, the system obtains an input image indicating the contamination on the object and generates a synthetic image using an artificial intelligence (AI) model based on the input image. The synthetic image can indicate the object without the contamination. The system then determines a difference between the input image and the synthetic image to identify an image area corresponding to the contamination. Subsequently, the system generates a contamination map of the contamination by highlighting the image area based on one or more image enhancement operations.

    USING MULTIPLE TRAINED MODELS TO REDUCE DATA LABELING EFFORTS
    4.
    发明申请
    USING MULTIPLE TRAINED MODELS TO REDUCE DATA LABELING EFFORTS 有权

    公开(公告)号：US20220318229A1

    公开(公告)日：2022-10-06

    申请号：US17221661

    申请日：2021-04-02

    申请人： PALO ALTO RESEARCH CENTER INCORPORATED

    发明人： Matthew Shreve ,  Francisco E. Torres ,  Raja Bala ,  Robert R. Price ,  Pei Li

    IPC分类号： G06F16/23 ,  G06N20/00

    摘要： A method of labeling a dataset of input samples for a machine learning task includes selecting a plurality of pre-trained machine learning models that are related to a machine learning task. The method further includes processing a plurality of input data samples through each of the pre-trained models to generate a set of embeddings. The method further includes generating a plurality of clusterings from the set of embeddings. The method further includes analyzing, by a processing device, the plurality of clusterings to extract superclusters. The method further includes assigning pseudo-labels to the input samples based on analysis.

    ALIGNMENT- AND ORIENTATION-BASED TASK ASSISTANCE IN AN AR ENVIRONMENT
    6.
    发明申请
    ALIGNMENT- AND ORIENTATION-BASED TASK ASSISTANCE IN AN AR ENVIRONMENT 审中-公开

    公开(公告)号：US20200211292A1

    公开(公告)日：2020-07-02

    申请号：US16237285

    申请日：2018-12-31

    申请人： Palo Alto Research Center Incorporated

    发明人： Hsuan-Ting Wu ,  Robert R. Price

    IPC分类号： G06T19/20 ,  G06T19/00 ,  G06F17/50

    摘要： Embodiments described herein provide a system for facilitating dynamic assistance to a user in an augmented reality (AR) environment of an AR device. During operation, the system detects a first element of an object using an object detector, wherein the object is associated with a task and the first element is associated with a step of the task. The system then determines an orientation and an alignment of the first element in the physical world of the user, and an overlay for the first element. The overlay can distinctly highlight one or more regions of the first element and indicate how the first element fits in the object. The system then applies the overlay to the one or more regions of the first element at the determined orientation in the AR environment.

    METHOD TO CONSTRUCT CONDITIONING VARIABLES BASED ON PERSONAL PHOTOS
    7.
    发明申请
    METHOD TO CONSTRUCT CONDITIONING VARIABLES BASED ON PERSONAL PHOTOS 审中-公开
    基于个人照片构造调节变量的方法

    公开(公告)号：US20150206222A1

    公开(公告)日：2015-07-23

    申请号：US14160211

    申请日：2014-01-21

    申请人： Palo Alto Research Center Incorporated

    发明人： Evgeniy Bart ,  Rui Zhang ,  Robert R. Price ,  Oliver Brdiczka

    IPC分类号： G06Q30/06

    CPC分类号： G06Q30/0631

    摘要： One embodiment of the present invention provides a system for generating one or more recommendations for a customer. During operation, the system obtains transaction and image data for a plurality of existing customers. The system then trains one or more parameters of conditioning variables associated with one or more clusters based on image data as part of a predictive model. Next, the system determines a list of recommendable items for each cluster, based on the transaction data. The system obtains transaction and image data for a customer. The system then determines that the customer is a member of a cluster associated with the predictive model, based on the obtained transaction and image data. The system generates a recommendation for one or more recommendable items for the customer based on the determined cluster membership.

    摘要翻译： 本发明的一个实施例提供了一种用于为客户生成一个或多个推荐的系统。 在操作期间，系统获取多个现有客户的交易和图像数据。 然后，该系统基于作为预测模型的一部分的图像数据来训练与一个或多个聚类相关联的调节变量的一个或多个参数。 接下来，系统基于交易数据确定每个集群的可推荐项目的列表。 系统获取客户的交易和图像数据。 基于获得的交易和图像数据，系统确定客户是与预测模型相关联的集群的成员。 系统基于确定的集群成员资格生成针对客户的一个或多个可推荐项目的推荐。

    SYSTEM AND METHOD FOR EFFICIENT TASK SCHEDULING IN HETEROGENEOUS, DISTRIBUTED COMPUTE INFRASTRUCTURES VIA PERVASIVE DIAGNOSIS
    8.
    发明申请
    SYSTEM AND METHOD FOR EFFICIENT TASK SCHEDULING IN HETEROGENEOUS, DISTRIBUTED COMPUTE INFRASTRUCTURES VIA PERVASIVE DIAGNOSIS 有权
    通过全面诊断在异质性，分布式计算机基础结构中有效的任务调度的系统和方法

    公开(公告)号：US20140289733A1

    公开(公告)日：2014-09-25

    申请号：US13848934

    申请日：2013-03-22

    申请人： PALO ALTO RESEARCH CENTER INCORPORATED

    发明人： Christian Fritz ,  Shekhar Gupta ,  Johan de Kleer ,  Robert R. Price

    IPC分类号： G06F9/48

    CPC分类号： G06F9/5066 ,  G06F2209/508

    摘要： A system and method schedules jobs in a cluster of compute nodes. A job with an unknown resource requirement profile is received. The job includes a plurality of tasks. Execution of some of the plurality of tasks is scheduled on compute nodes of the cluster with differing capability profiles. Timing information regarding execution time of the scheduled tasks is received. A resource requirement profile for the job is inferred based on the received timing information and the differing capability profiles. Execution of remaining tasks of the job is scheduled on the compute nodes of the cluster using the resource requirement profile.

    摘要翻译： 系统和方法调度计算节点集群中的作业。 收到资源需求不明确的作业。 该工作包括多个任务。 在具有不同能力简档的集群的计算节点上调度执行多个任务中的一些。 接收有关计划任务的执行时间的定时信息。 基于所接收的定时信息和不同的能力简档来推断作业的资源需求简档。 使用资源需求配置文件在集群的计算节点上调度作业的剩余任务的执行。

    System and method for synthetic image generation with localized editing
    10.
    发明授权
    System and method for synthetic image generation with localized editing 有权

    公开(公告)号：US11508169B2

    公开(公告)日：2022-11-22

    申请号：US16737702

    申请日：2020-01-08

    申请人： Palo Alto Research Center Incorporated

    发明人： Raja Bala ,  Robert R. Price ,  Edo Collins

    IPC分类号： G06T11/60 ,  G06V30/262 ,  G06F17/16 ,  G06K9/62

    摘要： Embodiments described herein provide a system for generating synthetic images with localized editing. During operation, the system obtains a source image and a target image for image synthesis and selects a semantic element from the source image. The semantic element indicates a semantically meaningful part of an object depicted in the source image. The system then determines the style information associated with the source and target images. Subsequently, the system generates a synthetic image by transferring the style of the semantic element from the source image to the target image based on the feature representations. In this way, the system can facilitate localized editing of the target image.