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High-dimensional similarity retrieval using dimensional choice
2008
2008 IEEE 24th International Conference on Data Engineering Workshop
There are several pieces of information that can be utilized in order to improve the efficiency of similarity searches on high-dimensional data. The most commonly used information is the distribution of the data itself, but the use of dimensional choice based on the information in the query as well as the parameters of the distribution can provide an effective improvement in the query processing speed and storage. The use of this method can produce dimension reduction by as much as a factor of
doi:10.1109/icdew.2008.4498342
dblp:conf/icde/TahmoushS08
fatcat:nkjset67kzdpzhjz4j3p5dtini