3 accepted papers
Large-scale multi-view clustering aims to explore the complementary and consistent information among different views in efficient manner. Despite the impressive performance gained by the existing methods, they just perform anchor learning in a single space with the orthogonal or some other constrain
Recent advances in linguistic steganalysis have successively applied CNN, RNN, GNN and other efficient deep models for detecting secret information in generative texts. These methods tend to seek stronger feature extractors to achieve higher steganalysis effects. However, we have found through exper…
A core work in reversible data hiding is designing an embedding method enabling the hider to take advantages of smooth elements as many as possible while the detection procedure for marked elements is invertible to the receiver. It motivates us to introduce a novel patch-level selection and breadth-…