In this paper we propose a Bayesian model for multi-task feature selection. This model is based on a generalized spike and slab sparse prior distribution that enforces the selectio...
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
While enabling fast implementation and reconfiguration of stream applications, programmable stream processors expose issues of incompatibility and lack of adoption in existing st...
Yongxin Zhu, Zhenxin Sun, Alexander Maxiaguine, We...
The research area of Single Display Groupware (SDG) confronts the standard model of computing interaction, one user working on one computer, by investigating how to best support g...
Previous parametric representations of smooth genus-zero surfaces require a collection of abutting patches (e.g. splines, NURBS, recursively subdivided polygons). We introduce a s...
Frank Losasso, Hugues Hoppe, Scott Schaefer, Joe D...