This paper proposes employing a graph-theoretic approach to estimate the region correspondence between two images. We represent each image as an attributed undirected graph and tr...
The new approach of relevant feature selection in machine learning is proposed for the case of ordered features. Feature selection and regularization of decision rule are combined ...
Regularized kernel discriminant analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. Its performance depends on the selection of kernel...
We propose a new model for exible composition of objects et of features. Features are similar to (abstract) subclasses, but only provide the core functionality of a (sub)class. Ove...
This paper presents a max margin framework on image annotation and multimodal image retrieval as a structured prediction model. Following the max margin approach the image retriev...
Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos F...