System and method for learning a weighted index to categorize objects
US7756845B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 28, 2006 |
| Grant date | Jul 13, 2010 |
| Priority date | — |
| Expiry date | Aug 26, 2027 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/353
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An improved system and method is provided for learning a weighted index to categorize objects using ranked recall. In an offline embodiment, a learning engine may learn a weighted index for classifying objects using ranked recall by training during an entire initial pass of a training sequence of a collection of objects. In an online embodiment, a learning engine may learn a weighted index for classifying objects using ranked recall by dynamically updating the weighted index as each instance of the collection of objects may be categorized. Advantageously, an instance of a large collection of objects may be accurately and efficiently recalled for many large scale applications with hundreds of thousands of categories by quickly identifying a small set of candidate categories for the given instance of the object.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.