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公开(公告)号:US20170371856A1
公开(公告)日:2017-12-28
申请号:US15630462
申请日:2017-06-22
Applicant: SAS Institute Inc.
Inventor: Ethem F. Can , Richard W. Crowell , James Tetterton , Jared Peterson , SARATENDU SETHI
CPC classification number: G06F17/248 , G06F16/5846 , G06F17/2211 , G06F17/2881 , G06K9/00449 , G06K9/3233 , G06K9/4642 , G06K9/4676 , G06K9/469 , G06K9/6201 , G06K9/6267 , G06K9/6892 , G06N3/02
Abstract: Various embodiments are generally directed to systems for summarizing data visualizations (i.e., images of data visualizations), such as a graph image, for instance. Some embodiments are particularly directed to a personalized graph summarizer that analyzes a data visualization, or image, to detect pre-defined patterns within the data visualization, and produces a textual summary of the data visualization based on the pre-defined patterns detected within the data visualization. In various embodiments, the personalized graph summarizer may include features to adapt to the preferences of a user for generating an automated, personalized computer-generated narrative. For instance, additional pre-defined patterns may be created for detection and/or the textual summary may be tailored based on user preferences. In some such instances, one or more of the user preferences may be automatically determined by the personalized graph summarizer without requiring the user to explicitly indicate them. Embodiments may integrate machine learning and computer vision concepts.
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公开(公告)号:US10909313B2
公开(公告)日:2021-02-02
申请号:US15630462
申请日:2017-06-22
Applicant: SAS Institute Inc.
Inventor: Ethem F. Can , Richard W. Crowell , James Tetterton , Jared Peterson , Saratendu Sethi
IPC: G06F40/186 , G06K9/68 , G06K9/46 , G06F16/583 , G06K9/62 , G06K9/00 , G06N20/00 , G06K9/32 , G06F40/56 , G06F40/194
Abstract: Various embodiments are generally directed to systems for summarizing data visualizations (i.e., images of data visualizations), such as a graph image, for instance. Some embodiments are particularly directed to a personalized graph summarizer that analyzes a data visualization, or image, to detect pre-defined patterns within the data visualization, and produces a textual summary of the data visualization based on the pre-defined patterns detected within the data visualization. In various embodiments, the personalized graph summarizer may include features to adapt to the preferences of a user for generating an automated, personalized computer-generated narrative. For instance, additional pre-defined patterns may be created for detection and/or the textual summary may be tailored based on user preferences. In some such instances, one or more of the user preferences may be automatically determined by the personalized graph summarizer without requiring the user to explicitly indicate them. Embodiments may integrate machine learning and computer vision concepts.
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公开(公告)号:US10762390B2
公开(公告)日:2020-09-01
申请号:US15952833
申请日:2018-04-13
Applicant: SAS Institute Inc.
Inventor: Aysu Ezen Can , Ning Jin , Ethem F. Can , Xiangqian Hu , Saratendu Sethi
IPC: G06K9/62 , G06N3/04 , G06K9/46 , G06N3/08 , G06F40/279
Abstract: Machine-learning models and behavior can be visualized. For example, a machine-learning model can be taught using a teaching dataset. A test input can then be provided to the machine-learning model to determine a baseline confidence-score of the machine-learning model. Next, weights for elements in the teaching dataset can be determined. An analysis dataset can be generated that includes a subset of the elements that have corresponding weights above a predefined threshold. For each overlapping element in both the analysis dataset and the test input, (i) a modified version of the test input can be generated that excludes the overlapping element, and (ii) the modified version of the test input can be provided to the machine-learning model to determine an effect of the overlapping element on the baseline confidence-score. A graphical user interface can be generated that visually depicts the test input and various elements' effects on the baseline confidence-score.
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公开(公告)号:US10191921B1
公开(公告)日:2019-01-29
申请号:US15944163
申请日:2018-04-03
Applicant: SAS Institute Inc.
Inventor: Ethem F. Can , Richard Welland Crowell , Samuel Paul Leeman-Munk , Jared Peterson , Saratendu Sethi
Abstract: A system provides image search results based on a query that includes an attribute or an association and a concept identifier. The query is input into a trained query model to define a search syntax for the query. The search syntax is submitted to an expanded annotated image database that includes a concept image of a concept identified by the concept identifier with a plurality of attributes associated with the concept and a plurality of associations associated with the concept. A query result is received based on matching the defined search syntax to one or more of the attributes or one or more of the associations. The query result includes the concept image of the concept associated with the matched one or more of the attributes or one or more of the associations. The concept image included in the received query result is presented in a display.
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