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Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.3008970
Abstract: Learning robust and discriminative representations is essential for 3D object retrieval. In this paper, we present an improved Multi-view Convolutional Neural Network (MVCNN) for view-based 3D object representation learning. Our technical contributions are divided into…
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Keywords:
object retrieval;
multi view;
view;
convolutional neural ... See more keywords
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Published in 2019 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2018.2828815
Abstract: Diffusion process has advanced object retrieval greatly as it can capture the underlying manifold structure. Recent studies have experimentally demonstrated that tensor product diffusion can better reveal the intrinsic relationship between objects than other variants.…
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Keywords:
diffusion;
object retrieval;
diffusion process;
regularized diffusion ... See more keywords
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Published in 2019 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2019/1483294
Abstract: Object retrieval plays an increasingly important role in video surveillance, digital marketing, e-commerce, etc. It is facing challenges such as large-scale datasets, imbalanced data, viewpoint, cluster background, and fine-grained details (attributes). This paper has proposed…
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Keywords:
large scale;
imbalanced data;
ontology;
system ... See more keywords
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Published in 2017 at "Journal of Educational Computing Research"
DOI: 10.1177/0735633116681303
Abstract: The main goal of this article is to develop a Management System for Merging Learning Objects (msMLO), which offers an approach that retrieves learning objects (LOs) based on students’ learning styles and term-based queries, which…
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Keywords:
based learning;
aggregation based;
learning object;
retrieval aggregation ... See more keywords
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Published in 2021 at "International Journal of Intelligent Engineering and Systems"
DOI: 10.22266/ijies2021.0630.19
Abstract: The popularity of video recordings either on mobile devices or video surveillance has contributed to the demand for video data applications. As a result, the management of video has become significant in the object retrieval…
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Keywords:
video;
retrieval;
object retrieval;
naive bayes ... See more keywords