Conditional random fields (CRF) are widely used for predicting output variables that have some internal structure. Most of the CRF research has been done on structured classificati...
Image restoration is a keen problem of low level vision. In this paper, we propose a novel - assumption-free on the noise model - technique based on random walks for image enhancem...
An ultimate goal of AI is to build end-to-end systems that interpret natural language, reason over the resulting logical forms, and perform actions based on that reasoning. This r...
Automatic face photo-sketch recognition has important applications to law enforcement. Recent research has focused on transforming photos and sketches into the same modality for m...
Efficient processing of tera-scale text data is an important research topic. This paper proposes lossless compression of Ngram language models based on LOUDS, a succinct data stru...