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Published in 2017 at "IEEE Access"
DOI: 10.1109/access.2017.2750701
Abstract: Eye movement is proven to be the most frequent activities of human beings; as a result research on recognition of unit eye movement has become a hotspot in human activity recognition. In this paper, we…
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Keywords:
recognition;
robust online;
eye movement;
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Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3196957
Abstract: Certain forms of uncertainty that robotic systems encounter can be explicitly learned within the context of a known model, like parametric model uncertainties such as mass and moments of inertia. Quantifying such parametric uncertainty is…
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Keywords:
motion;
robust online;
model;
motion planning ... See more keywords
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Published in 2020 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2018.2869476
Abstract: In this paper, a robust online multilabel learning method dealing with dynamically changing multilabel data streams is proposed. The proposed method has three advantages: 1) higher accuracy due to a newly defined objective function based…
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Keywords:
multilabel;
robust online;
online multilabel;
data distribution ... See more keywords
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Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2021.3050314
Abstract: Existing tracking-by-detection approaches using deep features have achieved promising results in recent years. However, these methods mainly exploit feature representations learned from individual static frames, thus paying little attention to the temporal smoothness between frames.…
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Keywords:
convnet;
robust online;
spatio temporal;
online tracking ... See more keywords
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Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3202785
Abstract: In a sequence, the appearance of both the target and background often changes dramatically. Offline-trained models may not handle huge appearance variations well, causing tracking failures. Most discriminative trackers address this issue by introducing an…
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Keywords:
update scheme;
appearance;
robust online;
online update ... See more keywords
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Published in 2023 at "IEEE Transactions on Signal and Information Processing over Networks"
DOI: 10.1109/tsipn.2023.3264990
Abstract: Many real-world processes of interest produce nonnegative integer values standing for counts. For instance, we count packets in computer networks, people in monitored areas, or particles incident on detectors. Often, the ultimate goal is the…
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Keywords:
online modeling;
modeling counts;
robust online;
networks robust ... See more keywords