The similarity search mechanism consists of two phases, the similarity search query resolving phase and the query probing phase. The query resolving phase ...
Jan 15, 2011 · SSA successfully avoids the need of collecting data from all sensors in the network in searching for the most similar data item. The performance ...
In this paper, we propose a similarity search algorithm (SSA), which is a novel framework based on the concept of Hilbert curve over a data-centric storage ...
In this paper, we propose a similarity search algorithm (SSA), which is a novel framework based on the concept of Hilbert curve over a data-centric storage ...
In this paper, we propose a similarity search algorithm (SSA), which is a novel framework based on the concept of Hilbert curve over a data-centric storage ...
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Which of the following multiple access techniques are more preferable for implementation of WSN?
Mar 5, 2015 · ... reveal that DCSMSS is highly efficient and significantly outperforms previous approaches in processing similarity search queries.
Chung, Y.C.; Su, I.F.; Lee, C. An efficient mechanism for processing similarity search queries in sensor networks. Inf. Sci. 2011, 181, 284–307. [Google ...
A central querier/data sink (or collection of queriers/sinks) issues queries that sources in the network respond to. Due to energy constraints it is desirable ...
An efficient mechanism for processing similarity search queries in sensor networks ... The similarity search problem has received considerable attention in ...
Given a query image and its high-dimensional vector of extracted features, a similarity search is conducted to find the images that are similar to or that are k ...
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