Many problems in machine learning involve datasets that are comprised of multiple views. The separate views can be defined over a single input (e.g., multiple image feature types), or from multiple information sources (e.g., audio and video). In this context, each view can provide a redundant indication of the underlying class or event of interest, useful for classification.