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公开(公告)号：US11783327B2
公开(公告)日：2023-10-10
申请号：US18101760
申请日：2023-01-26
申请人： Walmart Apollo, LLC
IPC分类号： G06Q20/38 , H04L9/32 , G06N3/08 , G06V40/30 , G06F18/2415 , G06V10/764 , G06V10/774 , G06V10/776 , G06V10/82
CPC分类号： G06Q20/3825 , G06F18/24155 , G06N3/08 , G06V10/764 , G06V10/774 , G06V10/776 , G06V10/82 , G06V40/33 , H04L9/3257
摘要： Two models are first trained and then test images are applied to the two trained models in an effort to detect signature forgeries. The first model is trained with pairs of signature images and the resultant trained model is capable of detecting blind forgeries. The second model is trained with triplets of signature images and is capable of detecting skilled signature forgeries. After the two models are trained, test images are applied to the models and determinations are made as to whether a blind or skilled forgery is present.
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公开(公告)号：US11216501B2
公开(公告)日：2022-01-04
申请号：US16562813
申请日：2019-09-06
申请人： Walmart Apollo, LLC
摘要： A control circuit obtains and utilizes a first set of rules that determines a distance, as a function of a modified Jaccard distance, between each of a number of predetermined classes. The control circuit utilizes that information to generate groups of the predefined classes by evaluating the distance between each of the predetermined classes. First probabilities for each of the additional text entries regarding membership in each of the groups so generated is calculated along with second probabilities regarding membership in a particular one of the predefined classes in its corresponding group. A resultant probability is then calculated using the first and second probabilities that a given additional text entry belongs to a particular one of the predefined classes. The control circuit then utilizes that resultant probability information to automatically classify additional text entries by associating the given additional text entry to a particular one of the predefined classes.
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公开(公告)号：US20230177499A1
公开(公告)日：2023-06-08
申请号：US18101760
申请日：2023-01-26
申请人： Walmart Apollo, LLC
IPC分类号： G06Q20/38 , H04L9/32 , G06N3/08 , G06V40/30 , G06F18/2415 , G06V10/764 , G06V10/774 , G06V10/776 , G06V10/82
CPC分类号： G06Q20/3825 , H04L9/3257 , G06N3/08 , G06V40/33 , G06F18/24155 , G06V10/764 , G06V10/774 , G06V10/776 , G06V10/82
摘要： Two models are first trained and then test images are applied to the two trained models in an effort to detect signature forgeries. The first model is trained with pairs of signature images and the resultant trained model is capable of detecting blind forgeries. The second model is trained with triplets of signature images and is capable of detecting skilled signature forgeries. After the two models are trained, test images are applied to the models and determinations are made as to whether a blind or skilled forgery is present.
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公开(公告)号：US20210019801A1
公开(公告)日：2021-01-21
申请号：US16930726
申请日：2020-07-16
申请人： Walmart Apollo, LLC
摘要： Systems, apparatuses, and methods are provided herein for automated food ingredient analysis. A method comprises retrieving a ingredients list associated with a food product, parsing the ingredients list to an ordered list of a plurality of ingredients, matching an ingredient of the plurality of ingredients to a reference ingredient to determine a nutrition content associated with the ingredient, assigning ingredient share ranking to the ingredient based on its position on the ingredients list, retrieving nutrition label information associated with the food product, and determining estimated ingredient shares of one or more of the plurality of ingredients in the food product based on the nutrition content of the one or more of the plurality of ingredients, the ingredient share ranking s of the one or more of the plurality of ingredients, and the overall nutrition content of the food product.
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公开(公告)号：US20220351199A1
公开(公告)日：2022-11-03
申请号：US17860208
申请日：2022-07-08
申请人： Walmart Apollo, LLC
摘要： Two models are first trained and then test images are applied to the two trained models in an effort to detect signature forgeries. The first model is trained with pairs of signature images and the resultant trained model is capable of detecting blind forgeries. The second model is trained with triplets of signature images and is capable of detecting skilled signature forgeries. After the two models are trained, test images are applied to the models and determinations are made as to whether a blind or skilled forgery is present.
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公开(公告)号：US20200167772A1
公开(公告)日：2020-05-28
申请号：US16689301
申请日：2019-11-20
申请人： Walmart Apollo, LLC
摘要： Two models are first trained and then test images are applied to the two trained models in an effort to detect signature forgeries. The first model is trained with pairs of signature images and the resultant trained model is capable of detecting blind forgeries. The second model is trained with triplets of signature images and is capable of detecting skilled signature forgeries. After the two models are trained, test images are applied to the models and determinations are made as to whether a blind or skilled forgery is present.
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公开(公告)号：US20200081911A1
公开(公告)日：2020-03-12
申请号：US16562813
申请日：2019-09-06
申请人： Walmart Apollo, LLC
摘要： A control circuit obtains and utilizes a first set of rules that determines a distance, as a function of a modified Jaccard distance, between each of a number of predetermined classes. The control circuit utilizes that information to generate groups of the predefined classes by evaluating the distance between each of the predetermined classes. First probabilities for each of the additional text entries regarding membership in each of the groups so generated is calculated along with second probabilities regarding membership in a particular one of the predefined classes in its corresponding group. A resultant probability is then calculated using the first and second probabilities that a given additional text entry belongs to a particular one of the predefined classes. The control circuit then utilizes that resultant probability information to automatically classify additional text entries by associating the given additional text entry to a particular one of the predefined classes.
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