This paper summarizes an ongoing multi-year project aiming to uncover knowledge and techniques for devising intelligent environments for user-adaptive visualizations. We ran three...
Cristina Conati, Giuseppe Carenini, Dereck Toker, ...
Matrix factorization (MF) has been attracting much attention due to its wide applications. However, since MF models are generally non-convex, most of the existing methods are easi...
Qian Zhao, Deyu Meng, Lu Jiang, Qi Xie, Zongben Xu...
Goal recognition design involves the offline analysis of goal recognition models by formulating measures that assess the ability to perform goal recognition within a model and ï¬...
Knowledge graph completion aims to perform link prediction between entities. In this paper, we consider the approach of knowledge graph embeddings. Recently, models such as TransE...
Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, Xu...
Image clustering and visual codebook learning are two fundamental problems in computer vision and they are tightly related. On one hand, a good codebook can generate effective fea...