Machine learning via fusion of discriminative and mean field models and its application to image recognition

点击翻译按钮获取中文摘要

In machine learning, we have two typical models, i. e., generative and discriminative models. We aimed to combine both of these models in order to obtain more elaborated machine learning models. Two main results are obtained as follows. Firstly, we designed a special discriminative random field and applied it to high performance video image classification. Secondly, we modeled a kernel random field which is constructed as random field with kernels, and successively applied to scene classification.