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Creators/Authors contains: "Pallickara, Sangmi"

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  1. ; ; ; ; (, IEEE)
    Free, publicly-accessible full text available May 5, 2026
  2. ; ; ; ; ; ; (, IEEE)
    Free, publicly-accessible full text available May 19, 2026
  3. ; ; ; (, Proceedings of the AAAI Conference on Artificial Intelligence)
    Masked autoencoders employ random masking to effectively reconstruct input images using self-supervised techniques, which allows for efficient training on large datasets. However, the random masking strategy does not adequately tap into information encapsulated within high-dimensional hyperspectral satellite imagery that is used in several domains. We propose a novel masking strategy, HOGMAE, based on the Histogram of Oriented Gradients that incorporates rich information inherent within satellite images during the mask creation step. Our experiments, over a hyperspectral satellite dataset, demonstrate the effectiveness of our methodology. 
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    Free, publicly-accessible full text available April 11, 2026
  4. ; ; (, IEEE)
    Free, publicly-accessible full text available December 16, 2025
  5. ; ; ; (, IEEE)
    Free, publicly-accessible full text available December 16, 2025
  6. ; ; ; ; (, IEEE)
    Free, publicly-accessible full text available December 15, 2025
  7. ; ; (, ACM)
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  10. ; ; ; ; (, ACM)
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