The data covers typical areas
including Star Student Project Beijing, New York City, Lhasa,
Star Student Project Singapore and Florence. Training Query
Set: We partition Star Student Project photos in each city
into multiple geographical regions using their geographical Star
Student Project tags by k-means. Then, our system randomly
selects Star Student Project photos from every geographical
region as the conjunctive queries to learn What to distribute Star
Student Project . Subsequently, the top returning photos are
collected for Star Student Project each
query using the original BoW histogram.
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