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公开(公告)号：US11003896B2
公开(公告)日：2021-05-11
申请号：US16414306
申请日：2019-05-16
Applicant: Stripe, Inc.
Inventor： Pranav Dandekar , Ashish Goel , Peter Lofgren , Matthew Fisher
Abstract: Aspects of the current disclosure include systems and methods for identifying an entity in a query image by comparing the query image with digital images in a database. In one or more embodiments, a query feature may be extracted from the query image and a set of candidate features may be extracted from a set of images in the database. In one or more embodiments, the distances between the query feature and the candidate features are calculated. A feature, which includes a set of shortest distances among the calculated distances and a distribution of the set of shortest distances, may be generated. In one or more embodiments, the feature is input to a trained model to determine whether the entity in the query image is the same entity associated with one of the set of shortest distances.
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公开(公告)号：US10469504B1
公开(公告)日：2019-11-05
申请号：US15699808
申请日：2017-09-08
Applicant: Stripe, Inc.
Inventor： Pranav Dandekar , Peter Lofgren , Ashish Goel
Abstract: Described herein are systems and methods for predicting a metric value for an entity associated with a query node in a graph that represents a network. In embodiments, using a user's profile as the query node, a metric about that user may be estimated based, at least in part, as a function of how well connected the query node is to a whitelist of “good” users/nodes in the network, a blacklist of “bad” users/nodes in the network, or both. In embodiments, one or more nodes or edges may be weighted when determining a final score for the query node. In embodiments, the final score regarding the metric may be used to take one or more actions relative to the query node, including accepting it into a network, allowing or rejecting a transaction, assigning a classification to the node, using the final score to compute another estimate for a node, etc.
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公开(公告)号：US20190272412A1
公开(公告)日：2019-09-05
申请号：US16414306
申请日：2019-05-16
Applicant: Stripe, Inc.
Inventor： Pranav Dandekar , Ashish Goel , Peter Lofgren , Matthew Fisher
Abstract: Aspects of the current disclosure include systems and methods for identifying an entity in a query image by comparing the query image with digital images in a database. In one or more embodiments, a query feature may be extracted from the query image and a set of candidate features may be extracted from a set of images in the database. In one or more embodiments, the distances between the query feature and the candidate features are calculated. A feature, which includes a set of shortest distances among the calculated distances and a distribution of the set of shortest distances, may be generated. In one or more embodiments, the feature is input to a trained model to determine whether the entity in the query image is the same entity associated with one of the set of shortest distances.
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公开(公告)号：US10311288B1
公开(公告)日：2019-06-04
申请号：US15468757
申请日：2017-03-24
Applicant: Stripe, Inc.
Inventor： Pranav Dandekar , Ashish Goel , Peter Lofgren , Matthew Fisher
Abstract: Aspects of the current disclosure include systems and methods for identifying a person in a query image by comparing the query image with digital images in a face database. In embodiments, a query feature vector may be extracted from the query image and a set of candidate feature vectors may be extracted from a set of images in the face database. In embodiments, the distances between the query feature vector and the candidate feature vectors are calculated. A feature vector, which includes a set of shortest distances among the calculated distances and a distribution of the set of shortest distances, may be generated. In embodiments, the feature vector is input to a trained decision tree to determine whether the person in the query image is the same person associated with one of the set of shortest distances.
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