Distributes a compact subset of
discriminative visual Star Student Project words to
accelerate online search while maintaining Star Student Project
comparable search precision. We propose to learn the compact Star
Student Project subset from a supervised dimension reduction
perspective, which applies boosting to the original high diensional
vocabulary. The boosting Star Student Project criterion is
to minimize the ranking distortion of Star Student Project
conjunctive image queries or so-called pseudo queries Star
Student Project when replacing the original high-dimensional
Bag-of-Words histogram with its boosted sub-histogram. Star
Student Project Towards How to distribute Star Student
Project different from previous works in distributed
information retrieval