Partially View Aligned Multi View Learning

In multi-view learning, the Partially View-aligned Problem (PVP) refers to the issue where only a portion of the samples in the dataset are aligned across multiple views, leading to data inconsistency. The goal of this task is to effectively utilize the partially aligned data to enhance the robustness and generalization ability of the model, thereby achieving more accurate multimodal data analysis and fusion in fields such as computer vision. Solving PVP is crucial for improving recognition, classification, and clustering performance in complex scenarios.