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    System and method using deep learning machine vision to analyze localities
    4.
    发明授权
    System and method using deep learning machine vision to analyze localities 有权

    公开(公告)号：US11506508B2

    公开(公告)日：2022-11-22

    申请号：US16729414

    申请日：2019-12-29

    Applicant: Dell Products L.P.

    Inventor： Ravi Shukla ,  Sumant Sahoo ,  Prakash Sridharan ,  Ramakanth Kanagovi ,  Arun Swamy

    IPC: G01C21/36 ,  G06F16/28 ,  G06F16/29 ,  G06K9/62 ,  G06N3/08

    Abstract: A system, method, and computer-readable storage medium are disclosed that execute machine vision operations to categorize a locality. At least one embodiment accesses a map image of a locality, where the map image includes geographical artefacts corresponding to entities within the locality; analyzes the map image to detect the entities in the locality using the geographical artefacts; assigns entity classes to detected entities in the locality; assigns a locality score to the locality based on entity classes included in the locality; retrieves street view images for one or more of the detected entities in the locality; and analyzes street view images of the detected entities to assign one or more further classifications to the detected entities. Other embodiments include corresponding computer systems, apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the method.

    System and method using deep learning machine vision to conduct comparative campaign analyses
    5.
    发明授权
    System and method using deep learning machine vision to conduct comparative campaign analyses 有权

    公开(公告)号：US11430002B2

    公开(公告)日：2022-08-30

    申请号：US16741955

    申请日：2020-01-14

    Applicant: Dell Products L.P.

    Inventor： Arun Swamy ,  Ravi Shukla ,  Prakash Sridharan ,  Sumant Sahoo ,  Ramakanth Kanagovi

    IPC: G06Q30/02 ,  G06F16/28 ,  G08G1/00 ,  G06N3/08 ,  G06Q40/06

    Abstract: At least one embodiment of the disclosed system is directed to computer-implemented method for using machine vision to categorize a locality to conduct lead mining analyses. Embodiments of the method may include: generating locality profile scores and economic categorization for each locality of a plurality of localities, the locality profile score for each locality being derived through neural network analyses of map images of the locality, the economic categorization being derived through neural network analyses of images of entities within the locality; and generating a lead score for each entity in the locality group as a function of the locality profile score for the locality in which the entity is located, the economic categorization of the locality in which the entity is located, and campaign vehicles used in the locality in which the entity is located.

    Document summarization through iterative filtering of unstructured text data of documents
    6.
    发明授权
    Document summarization through iterative filtering of unstructured text data of documents 有权

    公开(公告)号：US11620320B1

    公开(公告)日：2023-04-04

    申请号：US17500048

    申请日：2021-10-13

    Applicant: Dell Products L.P.

    Inventor： Ravi Shukla ,  Ramakanth Kanagovi ,  Prakash Sridharan ,  Sumant Sahoo ,  Arun Swamy ,  Shrikrishna K. Joisa ,  Sandeep Ratnakar

    IPC: G06F16/30 ,  G06F16/34 ,  G06F16/33

    Abstract: An apparatus comprises at least one processing device configured to receive a query to generate a summary of a document, to perform two or more iterations of filtering the document to produce a current version of the summary of the document, wherein each of the iterations comprises determining similarity between a first vector representation of the current version of the summary and second vector representations of respective ones of two or more portions of the unstructured text data of the document not yet added to the current version of the summary. The processing device is also configured to generate, following identification of one or more designated stopping criteria in a given iteration, a final version of the summary based at least in part on the current version of the summary produced in the given iteration, and to provide a response to the query comprising the final version of the summary.

    System and Method Using Deep Learning Machine Vision to Conduct Comparative Campaign Analyses
    7.
    发明申请
    System and Method Using Deep Learning Machine Vision to Conduct Comparative Campaign Analyses 有权

    公开(公告)号：US20210217051A1

    公开(公告)日：2021-07-15

    申请号：US16741955

    申请日：2020-01-14

    Applicant: Dell Products L.P.

    Inventor： Arun Swamy ,  Ravi Shukla ,  Prakash Sridharan ,  Sumant Sahoo ,  Ramakanth Kanagovi

    IPC: G06Q30/02 ,  G06Q40/06 ,  G08G1/00 ,  G06F16/28 ,  G06N3/08

    Abstract: At least one embodiment of the disclosed system is directed to computer-implemented method for using machine vision to categorize a locality to conduct lead mining analyses. Embodiments of the method may include: generating locality profile scores and economic categorization for each locality of a plurality of localities, the locality profile score for each locality being derived through neural network analyses of map images of the locality, the economic categorization being derived through neural network analyses of images of entities within the locality; and generating a lead score for each entity in the locality group as a function of the locality profile score for the locality in which the entity is located, the economic categorization of the locality in which the entity is located, and campaign vehicles used in the locality in which the entity is located.

    System and Method Using Deep Learning Machine Vision to Analyze Localities to Conduct Comparative Spending Analyses
    8.
    发明申请
    System and Method Using Deep Learning Machine Vision to Analyze Localities to Conduct Comparative Spending Analyses 有权

    公开(公告)号：US20210200827A1

    公开(公告)日：2021-07-01

    申请号：US16729416

    申请日：2019-12-29

    Applicant: Dell Products L.P.

    Inventor： Prakash Sridharan ,  Arun Swamy ,  Sumant Sahoo ,  Ravi Shukla ,  Ramakanth Kanagovi

    IPC: G06F16/9537 ,  G06N3/08 ,  G06F16/906 ,  G06Q30/02

    Abstract: A system, method, and computer-readable storage medium are disclosed that execute machine vision operations to categorize a locality. At least one embodiment accesses a map image of a locality, where the map image includes geographical artefacts corresponding to entities within the locality; analyzes the map image to detect the entities in the locality using the geographical artefacts; assigns entity classes to detected entities in the locality; assigns a locality score to the locality based on entity classes included in the locality; retrieves street view images for one or more of the detected entities in the locality; and analyzes street view images of the detected entities to assign one or more further classifications to the detected entities. Other embodiments include corresponding computer systems, apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the method.

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