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    Enhancing Generative Class Incremental Learning Performance With a Model Forgetting Approach by Taro Togo, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

    Published 2025-01-01
    “…GCIL is one of the hot topics in the field of computer vision, and it is considered one of the important tasks in society as one of the continual learning approaches for generative models. …”
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    Machine learning-assisted image analysis techniques for glaucoma detection by Vaibhav Yadav, Barnali Dey, Udayan Baruah, Saumya Das, Om Prakash

    Published 2025-05-01
    “…To address these issues, a combination of Artificial Intelligence, Image Processing, and computer vision-based models are being developed for easy and rapid glaucoma diagnosis. …”
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    Extending Guided Filters Through Effective Utilization of Multi-Channel Guide Images Based on Singular Value Decomposition by Kazu Mishiba

    Published 2025-01-01
    “…We validated the proposed method across various image processing applications, including denoising, edge-preserving smoothing, detail enhancement, and edge-enhancing smoothing. …”
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    Radar target detector based on banded sample autocovariance matrices by Chang Qu, Xiaoying Wang, Jing Chen, Junping Yin, Jiang Hu, Zhigen Gao

    Published 2025-06-01
    “…We model radar echo data within a coherent processing interval as stationary time series governed by linear random processes, enabling the application of a time series resampling approach to establish the autoregressive sieve bootstrap consistency of the banded sample autocovariance matrix (SACM) in the spectral norm. …”
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