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The reported experimental results demonstrate that the City-block and Chi-square metrics are more efficient in terms of both retrieval accuracy and retrieval efficiency.
A vantage-based case indexing mechanism is developed to accelerate the case retrieval efficiency.
Retrieval efficiency and accuracy are the important issues in designing content based image retrieval system.
Moreover, a multi-level index structure is designed to enhance the retrieval efficiency.
In the proposed CBR system, the case base is constructed based on domain ontology to improve the retrieval efficiency.
This paper introduces two simple modifications to the basic Connectionist-Hashed Associative Memory which together can improve the retrieval efficiency by an order of magnitude or more.
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We identify a tradeoff between search-retrieval efficiency and algorithm complexity.
In large databases, near-neighbor searches must be enhanced by indexed retrieval for efficiency.
These chunks are cached and replaced in accordance with the popularity ω, which significantly impacts the retrieval's efficiency.
Numerical assessment of automated term-like phrases retrieval process efficiency done in the paper is calculated by comparing automatically extracted term-like phrases and those manually selected by experts.
Our framework is validated on more than 17,000 neuron cells, showing promising retrieval accuracy and efficiency.
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