Large-margin multi-view Gaussian process for image classification
Chang Xu, Dacheng Tao, Yangxi Li, Chao Xu · 2013
In image classification, the goal is to decide whether an image belongs to a certain category or not. Multiple features are usually employed to comprehend the contents of images substantially for the improvement of classification accuracy. However, it also brings in some new problems that how to effectively combine multiple features together, and how to handle the high-dimensional features from multiple views given the small training set.