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Tightly Coupled Learning Strategy for Weakly Supervised Hierarchical Place Recognition
For the trade-off between time and performance, most of methods use the coarse-to-fine hierarchical architecture, which consists of retrieving top-N candidates using global features, and re-ranking top-N with local features.
An enhanced computational feature selection method for medical synonym identification via bilingualism and multi-corpus training
Through the comparison among identification results, we present an optimal combination of features for Chinese medical synonym identification.
Semantic Modelling with Long-Short-Term Memory for Information Retrieval
In this paper we address the following problem in web document and information retrieval (IR): How can we use long-term context information to gain better IR performance?
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