We empirically evaluate several state-of-theart methods for constructing ensembles of heterogeneous classifiers with stacking and show that they perform (at best) comparably to se...
We present a novel approach to 3D delineation of dendritic networks in noisy image stacks. We achieve a level of automation beyond that of stateof-the-art systems, which model dend...
This paper describes an assembly-language type system capable of ensuring memory safety in the presence of both heap and stack allocation. The type system uses linear logic and a ...
Limin Jia, Frances Spalding, David Walker, Neal Gl...
Previous work on dependency parsing used various kinds of combination models but a systematic analysis and comparison of these approaches is lacking. In this paper we implemented ...
Cache hierarchies in future many-core processors are expected to grow in size and contribute a large fraction of overall processor power and performance. In this paper, we postula...
Niti Madan, Li Zhao, Naveen Muralimanohar, Anirudd...