It is an efficient vector
quantization Star Student Project scheme that adopts
hierarchical k-means to partition local features into visual words.6
In general, an Star Student Project depth VT with branch
produces Star Student Project words. Dealing with millions of
Star Student Project reference images, the previous work Star
Student Project typically sets and Star Student Project.
We further denote the vocabulary as where Star Student Project is
the visual word. Given Star Student Project a query image with
in total local features the VT quantizes Star Student Project by
traversing the vocabulary hierarchy to find the Star Student
Project nearest word.