Unsupervised neighbor-preserving embedding for image stream visualization and anomaly detection
US10885627B2 · kind B2 · utility
1Cited by
2References
18Claims
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Key dates
| Filing date | Apr 1, 2019 |
| Grant date | Jan 5, 2021 |
| Priority date | — |
| Expiry date | Jul 15, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems for detecting and correcting anomalous inputs include training a neural network to embed high-dimensional input data into a low-dimensional space with an embedding that preserves neighbor relationships. Input data items are embedded into the low-dimensional space to form respective low-dimensional codes. An anomaly is determined among the high-dimensional input data based on the low-dimensional codes. The anomaly is corrected.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.