Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to potential ap...
Fault Abstraction and Collapsing Framework for Asynchronous Circuits Philip P. Shirvani, Subhasish Mitra Center for Reliable Computing Stanford University Stanford, CA Jo C. Eberge...
Philip P. Shirvani, Subhasish Mitra, Jo C. Ebergen...
Abstract—This paper presents a model and theory for streaming layered video. We model the bandwidth available to the streaming application as a stochastic process whose statistic...
Abstract. Rent's rule and related concepts of connectivity such as dimensionality, line-length distributions, and separators have found great use in fundamental studies of di ...
Very large irregular-grid data sets are represented as tetrahedral meshes and may incur significant disk I/O access overhead in the rendering process. An effective way to allevia...