Search Results for author:
Found 2 papers, 1 papers with code
Inference in Randomized Least Squares and PCA via Normality of Quadratic Forms
To our knowledge, no comparable methods are available for SSE and for SRHT in PCA.
Reconstructing high-order sequence features of dynamic functional connectivity networks based on diversified covert attention patterns for Alzheimer's disease classification
Recent studies have applied deep learning methods such as convolutional recurrent neural networks (CRNs) and Transformers to brain disease classification based on dynamic functional connectivity networks (dFCNs), such as Alzheimer's disease (AD), achieving better performance than traditional machine learning methods.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
