Adaptive Multi-Stage Feature-View Fusion via Deep Graph Representation for Clustering.
Deep neural networks primarily aim to enhance the representation ability of high-level semantic features by deepening the network to reinforce critical features. However, this often leads to the under-utilization or discarding of certain low-level information, resulting in suboptimal performance. Due to differences in...