Fast fuzzy holistic Encoding & Retrieval
Current & Past Projects | | Links: Slides
Efficient encoding and fuzzy retrieval with large data sources
In order to deal with real world data sparsness and messiness, many real world search engines require
- High speed
- Simple, flexible data modelling
- Fuzzy search with an intuitive scores
- No false negative
Mixing high dimensional computing with symbolic logic, one can deliver elegant solutions to the above requirements by modelling and encoding datasets as sparse binary vectors. Because computations are base on the simplest possible data structures, such an engines allows to perform fuzzy searches at impressive speed and compression rate.
Past and present applications included GPS processing, behavioural and medical data.
