Abstract: With the explosive growth of video data in real applications, near-duplicate video retrieval (NDVR) has become indispensable and challenging, especially for short videos. However, all ...

The datasets have been scaled. I've checked the mean and std of the datasets. Penalties were determined through a grid search, resulting in a penalty setting of (0.9, 0.9) for both datasets. Despite ...

Dense SVDs using CuPy can use the QR decomposition or the Jacobi algorithms. However, a newer algorithm using polar decomposition taking advantage on massively parallel system such as GPUs is ...

Abstract: Singular value decomposition (SVD) has become a standard for clutter filtering of ultrafast ultrasound datasets. Its implementation requires the choice of appropriate thresholds to ...

Researchers developed a method to train machine learning models using highly realistic synthetic data generated by a special type of machine-learning model, instead of a traditional dataset. A machine ...

In light of the rapid accumulation of large-scale omics datasets, numerous studies have attempted to characterize the molecular and clinical features of cancers from a multi-omics perspective. However ...