Invention Grant
- Patent Title: Machine learning model capability assessment
-
Application No.: US17508365Application Date: 2021-10-22
-
Publication No.: US12035106B2Publication Date: 2024-07-09
- Inventor: Aaron Lawson , Mitchell L McLaren , Diego Castan Lavilla
- Applicant: SRI International
- Applicant Address: US CA Menlo Park
- Assignee: SRI INTERNATIONAL
- Current Assignee: SRI INTERNATIONAL
- Current Assignee Address: US CA Menlo Park
- Agency: Shumaker & Sieffert, P.A.
- Main IPC: H04R25/00
- IPC: H04R25/00 ; G06F18/21 ; G06F18/214 ; G06F18/2413 ; G06N20/00

Abstract:
In some examples, a system includes a storage device; and processing circuitry having access to the storage device. The processing circuitry is configured to receive information indicative of a media dataset, where the media dataset corresponds to an object; and analyze the media dataset to compute a corresponding set of operating condition weight values. Additionally, the processing circuitry is configured to compare the set of operating condition weight values corresponding to the media dataset with a plurality of sets of reference operating condition weight values that each correspond to a different reference media dataset of a plurality of reference media datasets; and determine, based on the comparison of the set of operating condition weight values with the plurality of sets of reference operating condition weight values, an indication of a capability of a trained machine learning model to correctly verify the object in the media dataset.
Information query