We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
We introduce TwinSpace, a flexible software infrastructure for combining interactive workspaces and collaborative virtual worlds. Its design is grounded in the need to support dee...
Derek F. Reilly, Hafez Rouzati, Andy Wu, Jee Yeon ...
— Future power networks will be characterized by safe and reliable functionality against physical malfunctions and cyber attacks. This paper proposes a unified framework and adv...
In this paper, we present an effective algorithm to construct a 3D shape atlas for the left ventricle of heart from cardiac Magnetic Resonance Image data. We derive a framework tha...
Current explanation-based generalization (EBG) techniques can perform badly when the problem being solved involves recursion. Often an infinite series of learned concepts are gene...