Non-linear resistive grid kernel estimator useful in single feature, two-class pattern classification
US5365472A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | Nov 26, 1993 |
| Grant date | Nov 15, 1994 |
| Priority date | — |
| Expiry date | Nov 26, 2013 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/2321
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A discrete non-linear estimator is provided to establish a probability dety function useful in classification of a feature as belonging to one of two classes. A first and second known feature space associated with respective first and second classes are each converted to a plurality of voltages reflecting corresponding first and second feature space bins. A first and second one-dimensional, non-linear resistive grid has input nodes that continuously receive the voltages reflecting the respective first and second known feature space. Each resistive grid produces an output voltage at each of a corresponding plurality of first and second output nodes. Each of a plurality of voltage comparators are used to compare voltages at corresponding first and second output nodes to output a discrete probability density function that considers corresponding ones of the first and second feature space bins. A display may be used to visually or otherwise provide each probability density function from each voltage comparator.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.