High Dimensional Approximate Nearest Neighbor
kd-GeRaF is a C++ header-only library, whcich provides a Generalized Randomized k-d Forest for (approximate) Nearest Neighbor Search in a high dimensional space.
Just include kd-GeRaF’s header file.
We handle GIST datasets of 106 images in 960 dimensions in < 1 sec with about 90% outputs being true nearest neighbors.
Project/thesis of George Samaras, university of Athens, 2015.
Read more in our Paper: High-dimensional approximate nearest neighbor: k-d Generalized Randomized Forests[Avrithis, Prof. Emiris and Samaras].