Systems and methods for reducing data density in large datasets
US10192138B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Apr 15, 2016 |
| Grant date | Jan 29, 2019 |
| Priority date | — |
| Expiry date | Jan 1, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/751
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques and systems are provided for identifying unknown content. For example, a number of vectors out of a plurality of vectors projected from an origin point can be determined that are between a reference data point and an unknown data point. The number of vectors can be used to estimate an angle between a first vector (from the origin point to a reference data point) and a second vector (from the origin point to an unknown data point). A distance between the reference data point and the unknown data point can then be determined. Using the determined distance, candidate data points can be determined from a set of reference data points. The candidate data points can be analyzed to identify the unknown data point.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.