Results 41 to 50 of about 635,069 (331)
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
doaj +1 more source
Analisis Seleksi Citra Mirip dengan Memanfaatkan Konsep CBIR dan Algoritma Threshold
ComTech, 2011 Content base image retrieval (CBIR) is the concept of image retrieval by comparing the existing image on the sample to that of the database (query by example).
Abdul Haris Rangkuti
doaj +1 more source
Learning Join Queries from User Examples [PDF]
ACM Transactions on Database Systems, 2016 We investigate the problem of learning join queries from user examples. The user is presented with a set of candidate tuples and is asked to label them as positive or negative examples, depending on whether or not she would like the tuples as part of the join result.
Bonifati, Angela +2 more
openaire +3 more sources
Horizontably Scalable LSM-tree Based Index for Full-Text Search Boolean Queries
Современные информационные технологии и IT-образование, 2022 Let there be a set of objects, where each object is characterized by Boolean features. Let logical query or Boolean query denote a query to find objects characterized by a Boolean function by features, for example, “documents with all words ...and any ...
Aleksei Neganov
doaj +1 more source
Pay One, Get Hundreds for Free: Reducing Cloud Costs through Shared Query Execution
, 2018 Cloud-based data analysis is nowadays common practice because of the lower system management overhead as well as the pay-as-you-go pricing model. The pricing model, however, is not always suitable for query processing as heavy use results in high costs ...
Chen Chung-Min +6 more
core +1 more source
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
doaj +1 more source
Explaining Wrong Queries Using Small Examples [PDF]
Proceedings of the 2019 International Conference on Management of Data, 2019 For testing the correctness of SQL queries, e.g., evaluating student submissions in a database course, a standard practice is to execute the query in question on some test database instance and compare its result with that of the correct query. Given two queries $Q_1$ and $Q_2$, we say that a database instance $D$ is a counterexample (for $Q_1$ and ...
Sudeepa Roy, Jun Yang, Zhengjie Miao
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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.
Chengkai Li +4 more
openaire +3 more sources
The dual nature of TDC – bridging dendritic and T cells in immunity
FEBS Letters, EarlyView.TDC are hematopoietic cells combining dendritic and T cell features. They reach secondary lymphoid organs (SLOs) and peripheral organs (liver and lungs) after FLT3‐dependent development in the bone marrow and maturation in the thymus. TDC are activated and enriched in SLOs upon viral infection, suggesting that they might play unique immune roles, since
Maria Nelli, Mirela Kuka
wiley +1 more source
Efficient Graph Similarity Search in External Memory
IEEE Access, 2017 Many real-world applications, such as bioinformatics, data mining, pattern recognition, and social network analysis, benefit from efficient solutions for the graph similarity search problem.
Xiaoyang Chen +3 more
doaj +1 more source