Samenvatting
We introduce a scheme to address the trade-off between the identification rate, search and memory complexities in large-scale identification systems. We use a special database organization by assigning database entries to a set of possibly overlapping clusters. The clusters are generated based on statistics of both database entries and queries. The decoding procedure is accomplished in two stages. First, a list of clusters related to the query is detected. Then, refinement checks are performed on members of the detected clusters to produce a unique index. We investigate the minimum achievable search complexity for binary symmetric sources.
Originele taal-2 | Engels |
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Titel | Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 4-9 May 2014, Florence, Italy |
Plaats van productie | Piscataway |
Uitgeverij | Institute of Electrical and Electronics Engineers |
Pagina's | 3814-3818 |
ISBN van geprinte versie | 978-1-4799-2892-7 |
DOI's | |
Status | Gepubliceerd - 2014 |