Multiview Learning

Multiview learning refers to the method of utilizing data from different views or modalities for machine learning. Its objective is to improve the model's generalization ability and predictive accuracy by integrating information from multiple views. In computer vision, multiview learning can effectively handle multi-angle and multi-feature data of images and videos, enhancing the understanding and recognition capabilities of complex scenes, thereby playing a significant role in tasks such as object detection and face recognition. The application value of this method lies in improving data utilization efficiency and optimizing the decision-making process, making it suitable for the fusion analysis of multi-source heterogeneous data.