We use min relevant-images to
calculate Star Student Project . As is at most in our
evaluation and always smaller than the Star Student Project
number of labeled ground truth, we simply replace min relevant-images
Star Student Project with N in subsequent calculation.Star
Student Project Parameter Setting and Storage Cost: We extract
SIFT Star Student Project features Star Student Project
for each image in each reference dataset. Based on the 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.