Patents by Inventor Yunhui KONG

Yunhui KONG has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20250036717
    Abstract: A robust nonnegative matrix factorization (RNMF) method, in which an image sample set is split into a training set and a test set. The training set and the test set are normalized to map the image data from [0, 255] to [0, 1]. The training set matrix is pretrained by RNMF for decomposition. l2,1-deep incremental nonnegative matrix factorization (l2,1-DINMF) model is construed. The l2,1-DINMF model is configured to decompose the training set matrix into l+1 factors. After the basis matrix has been updated, and the samples of the training set and samples to be recognized are projected into a feature space. Feature representations of the test set are classified by a trained SVM classifier to obtain a predicted label, and the predicted label is compared with an actual label of the test set to calculate a recognition accuracy.
    Type: Application
    Filed: October 10, 2024
    Publication date: January 30, 2025
    Inventors: Zhongli ZHOU, Ran ZHOU, Changjie CAO, Bingli LIU, Yunhui KONG, Cheng LI, Yueyun LIU