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Performance of Graph and Relational Databases in Complex Queries
Applied Sciences, 2022 In developing NoSQL databases, a major motivation is to achieve better efficient query performance compared with relational databases. The graph database is a NoSQL paradigm where navigation is based on links instead of joining tables.
Petri Kotiranta +2 more
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Text-Image Matching for Cross-Modal Remote Sensing Image Retrieval via Graph Neural Network
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 The rapid development of remote sensing (RS) technology has produced massive images, which makes it difficult to obtain interpretation results by manual screening. Therefore, researchers began to develop automatic retrieval method of RS images. In recent
Hongfeng Yu +6 more
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marmap: A package for importing, plotting and analyzing bathymetric and topographic data in R. [PDF]
PLoS ONE, 2013 In this communication we introduce marmap, a package designed for downloading, plotting and manipulating bathymetric and topographic data in R. marmap can query the ETOPO1 bathymetry and topography database hosted by the NOAA, use simple latitude ...
Eric Pante, Benoit Simon-Bouhet
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Query-by-Example On-Device Keyword Spotting [PDF]
2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2019 A keyword spotting (KWS) system determines the existence of, usually predefined, keyword in a continuous speech stream. This paper presents a query-by-example on-device KWS system which is user-specific. The proposed system consists of two main steps: query enrollment and testing.
Kim, Byeonggeun +4 more
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A Query Language for Data Access in Ubiquitous Environments
CLEI Electronic Journal, 2018 Recent progress in ubiquitous computing technology is allowing development of new and so- phisticated applications that are now able to store very large data on the mobile device itself, besides access data stored remotely. Thus emerges the need to query
Cristiano Silveira +2 more
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gmos: Rapid Detection of Genome Mosaicism over Short Evolutionary Distances. [PDF]
PLoS ONE, 2016 Prokaryotic and viral genomes are often altered by recombination and horizontal gene transfer. The existing methods for detecting recombination are primarily aimed at viral genomes or sets of loci, since the expensive computation of underlying ...
Mirjana Domazet-Lošo +1 more
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Bridging the Gap: Query by Semantic Example [PDF]
IEEE Transactions on Multimedia, 2007 A combination of query-by-visual-example (QBVE) and semantic retrieval (SR), denoted as query-by-semantic-example (QBSE), is proposed. Images are labeled with respect to a vocabulary of visual concepts, as is usual in SR. Each image is then represented by a vector, referred to as a semantic multinomial, of posterior concept probabilities.
Rasiwasia, Nikhil +2 more
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Query-by-Example Speech Search Using Recurrent Neural Acoustic Word Embeddings With Temporal Context
IEEE Access, 2019 Acoustic word embeddings (AWEs) have been popular in low-resource query-by-example speech search. They are using vector distances to find the spoken query in search content, which has much lower computation than the conventional dynamic time warping (DTW)
Yougen Yuan +4 more
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Querying Knowledge Graphs by Example Entity Tuples [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2015 We witness an unprecedented proliferation of knowledge graphs that record millions of entities and their relationships. While knowledge graphs are structure-flexible and content rich, they are difficult to use. The challenge lies in the gap between their overwhelming complexity and the limited database knowledge of non-professional users.
Jayaram, Nandish +4 more
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A locally weighted learning method based on a data gravitation model for multi-target regression
International Journal of Computational Intelligence Systems, 2018 Locally weighted regression allows to adjust the regression models to nearby data of a query example. In this paper, a locally weighted regression method for the multi-target regression problem is proposed.
Oscar Reyes +3 more
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