In this paper, we develop an efficient logistic regression model for multiple instance learning that combines L1 and L2 regularisation techniques. An L1 regularised logistic regr...
Virtually all existing classification techniques label one sample at a time. In this paper, we highlight the potential benefits of group based classification (GBC), where the clas...
A closed-loop contaminant plume monitoring system is being developed that integrates wireless sensor network based monitoring with numerical models for subsurface plumes. The syst...
Qi Han, Anura P. Jayasumana, Tissa H. Illangasekar...
Automating tools for geo-locating and geo-orienting static cameras is a key step in creating a useful global imaging network from cameras attached to the Internet. We present algo...
: The paper proposes a lossy compression mechanism for 3D models (3D meshes) by improving existing compression mechanism such as progressive meshes and single refinement mesh compr...