Titlebook: Database Systems for Advanced Applications; 24th International C Guoliang Li,Jun Yang,Yongxin Tong Conference proceedings 2019 Springer Nat

聲明

Using Fractional Latent Topic to Enhance Recurrent Neural Network in Text Similarity Modelinge classical topic models, a text contains many different latent topics, and the complete semantic information of the text is described by all the latent topics. Previous RNN based models usually learn the text representation with the separated words in the text instead of topics, which will bring no

conduct

Incommensurate

Efficient Local Search for Minimum Dominating Sets in Large Graphsw local search algorithm ScBppw (Score Checking and Best-picking with Probabilistic Walk) to solve the MinDS problem in large graphs. For diversifying the search, our algorithm exploits a tabu strategy, called Score Checking (SC), which forbids a vertex to be added into the current candidate solutio

假

Multi-level Graph Compression for Fast Reachability Detectionhability based on that index. For these approaches, the index construction time and index size can become a concern for large graphs. More recently query-preserving graph compression has been proposed and searching reachability over the compressed graph has been shown to be able to significantly imp

漸強(qiáng)

abreast

文字

胰臟

否認(rèn)

Martin Heidegger and Daoism in Dialogue structure information in each modality and to reduce quantization loss, respectively. Extensive experiments are carried out on three datasets, and the results demonstrate the effectiveness of CMAH in handling cross-modal retrieval for both seen and unseen concepts.

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