4 papers
Feature Statistics with Uncertainty Help Adversarial Robustness
Ran Wang, Xinlei Zhou, Meng Hu +3
Despite the remarkable success of deep neural networks (DNNs), the security threat of adversarial attacks poses a significant challenge to the reliability of DNNs. In this paper, b…
Learnable Similarity and Dissimilarity Guided Symmetric Non-Negative Matrix Factorization
Wenlong Lyu, Yuheng Jia
Symmetric nonnegative matrix factorization (SymNMF) is a powerful tool for clustering, which typically uses the -nearest neighbor (-NN) method to construct similarity matrix.…
Similarity and Dissimilarity Guided Co-association Matrix Construction for Ensemble Clustering
Xu Zhang, Yuheng Jia, Mofei Song +1
Ensemble clustering aggregates multiple weak clusterings to achieve a more accurate and robust consensus result. The Co-Association matrix (CA matrix) based method is the mainstrea…
Semi-supervised Symmetric Non-negative Matrix Factorization with Low-Rank Tensor Representation
Yuheng Jia, Jia-Nan Li, Wenhui Wu +1
Semi-supervised symmetric non-negative matrix factorization (SNMF) utilizes the available supervisory information (usually in the form of pairwise constraints) to improve the clust…