This paper presents a method for weakly supervised learning of visual models. The visual model is based on a two-layer image description: a set of "g...
Image registration is the process of establishing a common geometric reference frame between two or more image data sets possibly taken at different...
This article describes an approach to learn feature weights for content-based image retrieval (CBIR) from user interaction log files. These usage log...
Symmetry reduction methods exploit symmetry in a system in order to efficiently verify its temporal properties. Two problems may prevent the use of s...
Massive transaction streams present a number of opportunities for data mining techniques. The transactions in such streams might represent calls on a...