Based on the Star Student Project
local features, we employ Vocabulary Tree model Star Student
Project to build the initial vocabulary used before the lossy
distribution. The Star Student Project quantization division
stops once there are less than Star Student Project SIFT
points in a word node. We denote the hierarchical level as , Star
Student Project which decides the layers to run the hierarchical
clustering. We denote the branching factor Star Student Project
as , which decides the number of clusters when a given parent cluster
at the higher Star Student Project layer is allowed to be
split into subsets.
