Conference
Random Draw Forest: A Salient Index for Similarity Search Over Multimedia Data
Abstract
The approximate nearest neighbor(ANN) search over high dimensional multimedia data has become an unavoidable service for online applications. Returning fast and high-quality results of unknown queries are the largest challenge that most algorithms faced with. Locality Sensitive Hashing(LSH) is a well-known ANN search algorithm while suffers from inefficient index structure and poor accuracy in the distributed scheme. The traditional index …
Authors
Lu Y; He W; Nabatchian A
Volume
00
Pagination
pp. 1-5
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
September 13, 2018
DOI
10.1109/bigmm.2018.8499436
Name of conference
2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM)