Most earlier studies of DHTs under churn have either depended on simulations as the primary investigation tool, or on establishing bounds for DHTs to function. In this paper, we pr...
Supriya Krishnamurthy, Sameh El-Ansary, Erik Aurel...
We study the phenomenon of cognitive learning from an algorithmic standpoint. How does the brain effectively learn concepts from a small number of examples despite the fact that e...
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
We present an analysis and algorithm for the problem of super-resolution imaging, that is the reconstruction of HR (high-resolution) images from a sequence of LR (lowresolution) im...
Atheoreticalframeworkisintroducedfortheperceptionofspecularsurfacegeometry.Whenanobserver moves in three-dimensional space, real scene features such as surface markings remain stat...