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Published in 2024 at "Communications Biology"
DOI: 10.1038/s42003-024-05988-y
Abstract: Clustering and visualization are essential parts of single-cell gene expression data analysis. The Euclidean distance used in most distance-based methods is not optimal. The batch effect, i.e., the variability among samples gathered from different times,…
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Keywords:
distance;
clustering visualization;
single cell;
cell ... See more keywords
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Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3187836
Abstract: Monitoring coral reefs using underwater vehicles increases the range of marine surveys and availability of historical ecological data by collecting significant quantities of images. Analysis of this imagery can be automated using a model trained…
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Keywords:
semantic segmentation;
label aware;
label;
imagery ... See more keywords
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Published in 2022 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2022.3154287
Abstract: One of the key challenges to the X-ray security check is to detect the overlapped items in backpacks or suitcases in the X-ray images. Most existing methods improve the robustness of models to the object…
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Keywords:
overlapped objects;
label aware;
aware mechanism;
security ... See more keywords
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Published in 2020 at "IEEE Transactions on Information Theory"
DOI: 10.1109/tit.2019.2962681
Abstract: Given labeled points in a high-dimensional vector space, we seek a low-dimensional subspace such that projecting onto this subspace maintains some prescribed distance between points of differing labels. Intended applications include compressive classification. Taking inspiration…
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Keywords:
squeezefit label;
reduction semidefinite;
dimensionality reduction;
aware dimensionality ... See more keywords