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公开(公告)号：US11720589B2
公开(公告)日：2023-08-08
申请号：US17398755
申请日：2021-08-10
Applicant: salesforce.com, inc.
Inventor： Joy Mustafi
IPC: G06F17/30 , G06F16/25 , G06F16/2453 , G06F16/28
CPC classification number: G06F16/258 , G06F16/24534 , G06F16/254 , G06F16/282 , G06F16/284
Abstract: Embodiments described herein transforms a complex and usually unstructured table to a relational table based on the header pattern. Specifically, the original complex table is expanded into a single dimensional relational database format, in which each cell corresponds to one or more corresponding categories or subcategories from the original header. The transformed one-dimensional relational table is then populated with the corresponding cell values from the original table. In this way, data from the original complex and unstructured data table can be stored at a relational database.
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公开(公告)号：US20210042309A1
公开(公告)日：2021-02-11
申请号：US16536165
申请日：2019-08-08
Applicant: salesforce.com, inc.
Inventor： Joy Mustafi
IPC: G06F16/2453 , G06F16/25 , G06F16/28 , G06K9/72
Abstract: Embodiments described herein transforms a complex and usually unstructured table to a relational table based on the header pattern. Specifically, the original complex table is expanded into a single dimensional relational database format, in which each cell corresponds to one or more corresponding categories or subcategories from the original header. The transformed one-dimensional relational table is then populated with the corresponding cell values from the original table. In this way, data from the original complex and unstructured data table can be stored at a relational database.
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公开(公告)号：US11715290B2
公开(公告)日：2023-08-01
申请号：US17558416
申请日：2021-12-21
Applicant: salesforce.com, inc.
Inventor： Joy Mustafi , Lakshya Kumar , Rajdeep Dua , Machiraju Pakasasana Rama Rao
IPC: G06V10/82 , G06V20/30 , G06F18/214 , G06F18/21 , G06F18/24 , G06V30/18 , G06V30/19 , G06V10/80 , G06V30/10
CPC classification number: G06V10/82 , G06F18/217 , G06F18/2148 , G06F18/24765 , G06V10/806 , G06V20/30 , G06V30/18057 , G06V30/19173 , G06V30/10 , G06V2201/09
Abstract: Machine learning based models recognize objects in images. Specific features of the object are extracted from the image using machine learning based models. The specific features extracted from the image assist deep learning based models in identifying subtypes of a type of object. The system recognizes the objects and collections of objects and determines whether the arrangement of objects violates any predetermined policies. For example, a policy may specify relative positions of different types of objects, height above ground at which certain types of objects are placed, or an expected number of certain types of objects in a collection.
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公开(公告)号：US11106668B2
公开(公告)日：2021-08-31
申请号：US16536165
申请日：2019-08-08
Applicant: salesforce.com, inc.
Inventor： Joy Mustafi
IPC: G06F17/30 , G06F16/2453 , G06F16/25 , G06K9/72 , G06F16/28
Abstract: Embodiments described herein transforms a complex and usually unstructured table to a relational table based on the header pattern. Specifically, the original complex table is expanded into a single dimensional relational database format, in which each cell corresponds to one or more corresponding categories or subcategories from the original header. The transformed one-dimensional relational table is then populated with the corresponding cell values from the original table. In this way, data from the original complex and unstructured data table can be stored at a relational database.
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公开(公告)号：US20210150273A1
公开(公告)日：2021-05-20
申请号：US16751078
申请日：2020-01-23
Applicant: salesforce.com, inc.
Inventor： Joy Mustafi , Lakshya Kumar , Rajdeep Dua , Machiraju Pakasasana Rama Rao
Abstract: Machine learning based models recognize objects in images. Specific features of the object are extracted from the image using machine learning based models. The specific features extracted from the image assist deep learning based models in identifying subtypes of a type of object. The system recognizes the objects and collections of objects and determines whether the arrangement of objects violates any predetermined policies. For example, a policy may specify relative positions of different types of objects, height above ground at which certain types of objects are placed, or an expected number of certain types of objects in a collection.
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Patent Agency Ranking
公开(公告)号：US11004236B2
公开(公告)日：2021-05-11
申请号：US16401695
申请日：2019-05-02
Applicant: salesforce.com, inc.
Inventor： Joy Mustafi , Lakshya Kumar , Rajdeep Singh Dua
Abstract: A system is provided for object localization in image data. The system includes an object localization framework comprising a plurality of object localization processes. The system is configured to receive an image comprising unannotated image data having at least one object in the image, access a first object localization process of the plurality of object localization processes, determine first bounding box information for the image using the first object localization process, wherein the first bounding box information comprises at least one first bounding box annotating at least a first portion of the at least one object in the image, and receive first feedback regarding the first bounding box information determined by the first object localization process. The system is further configured to persist the image with the first bounding box information or access a second object localization process based on the first feedback.
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7.发明申请公开(公告)号：US20210042308A1
公开(公告)日：2021-02-11
申请号：US16536172
申请日：2019-08-08
Applicant: salesforce.com, inc.
Inventor： Joy Mustafi
IPC: G06F16/2452 , G06F16/242 , G06F16/28 , G06F7/14 , G06F16/22
Abstract: Embodiments described herein provide a mechanism that translates a natural language question to a database query format that may be applied to a data table to generate an answer to the natural language question. The system may identify key terms from a natural language question and classify the key terms as variable names or operation names. The natural language question is than translated into a format of question template containing variable names and operation names. In this way, the system may map the template question to a database query which can be applied to operate on a relational database to identify a cell value that represents an answer to the natural language question.
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公开(公告)号：US20220114394A1
公开(公告)日：2022-04-14
申请号：US17558416
申请日：2021-12-21
Applicant: salesforce.com, inc.
Inventor： Joy Mustafi , Lakshya Kumar , Rajdeep Dua , Machiraju Pakasasana Rama Rao
Abstract: Machine learning based models recognize objects in images. Specific features of the object are extracted from the image using machine learning based models. The specific features extracted from the image assist deep learning based models in identifying subtypes of a type of object. The system recognizes the objects and collections of objects and determines whether the arrangement of objects violates any predetermined policies. For example, a policy may specify relative positions of different types of objects, height above ground at which certain types of objects are placed, or an expected number of certain types of objects in a collection.
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公开(公告)号：US20200250715A1
公开(公告)日：2020-08-06
申请号：US16264148
申请日：2019-01-31
Applicant: salesforce.com, inc.
Inventor： Joy Mustafi , Rajdeep Dua
Abstract: The system and methods of the disclosed subject matter provide a hybrid machine learning approach for recommending items that a consumer should be shown as a next best offer. The recommendation may be based on the consumer's previous behavior, other consumers' previous behavior, and the consumer's profile. The system and methods may cluster an input dataset using an unsupervised clustering engine. The dataset output from the unsupervised clustering engine may be subsequently provided to the input of a supervised machine learning engine to generate a rules-based model. The system and methods may use the rules-based model to subsequently cluster new user data and generate recommendations based on the user's assigned cluster.
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公开(公告)号：US11210562B2
公开(公告)日：2021-12-28
申请号：US16751078
申请日：2020-01-23
Applicant: salesforce.com, inc.
Inventor： Joy Mustafi , Lakshya Kumar , Rajdeep Dua , Machiraju Pakasasana Rama Rao
Abstract: Machine learning based models recognize objects in images. Specific features of the object are extracted from the image using machine learning based models. The specific features extracted from the image assist deep learning based models in identifying subtypes of a type of object. The system recognizes the objects and collections of objects and determines whether the arrangement of objects violates any predetermined policies. For example, a policy may specify relative positions of different types of objects, height above ground at which certain types of objects are placed, or an expected number of certain types of objects in a collection.
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