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- W330665205 abstract "In this paper, we present a knowledge-driven content-based information mining system for data fusion in Big Data. The tool combines, at pixel level, the unsupervised clustering results of different number of features, extracted from different image types, with a user given semantic concepts in order to calculate the posterior probability that allows the final search. The system is able to learn different semantic labels based on Bayesian networks and retrieve the related images with only a few user interactions, greatly optimizing the computational costs and over performing existing similar systems in variousorders of magnitude." @default.
- W330665205 created "2016-06-24" @default.
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- W330665205 date "2014-01-01" @default.
- W330665205 modified "2023-09-24" @default.
- W330665205 title "Accelerated Knowledge-Driven Image Mining System for Data Fusion in Big Data" @default.
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