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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2913289
Abstract: In this paper, we proposed an adaptive two-scale image fusion method using latent low-rank representation (LatLRR). First, both IR and VI images are decomposed into a two-scale representation using LatLRR to generate low-rank parts (the…
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Keywords:
fusion;
image fusion;
adaptive two;
scale image ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2020.3032628
Abstract: Learning based hashing approaches have achieved considerable success in large-scale image retrieval due to the query effectiveness and efficiency. However, most studies highly rely on supervised knowledge like data labels, thus might fail in unsupervised…
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Keywords:
collaborative unsupervised;
self collaborative;
scale image;
large scale ... See more keywords
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Published in 2017 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2016.2636086
Abstract: Practical applications of digital forensics are often faced with the challenge of grouping large-scale suspicious images into a vast number of clusters, each containing images taken by the same camera. This task can be approached…
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Keywords:
large scale;
image;
camera;
image clustering ... See more keywords
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Published in 2019 at "Indoor and Built Environment"
DOI: 10.1177/1420326x19865928
Abstract: This study demonstrates the feasibility of conducting on-site large-scale image-based measurements for indoor airflows characterisation. To illustrate the potential of our method, we chose to study the suction flow generated by a laboratory fume hood…
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Keywords:
laboratory fume;
site;
image based;
scale image ... See more keywords