In this paper we develop a systematic theory about local structure of moving images in terms of Galilean differential invariants. We argue that Galilean invariants are useful for s...
Framework optimizations capitalize on object dependencies, while framework flexibility and composability demand object independence. This paper shows how to balance these conflicti...
In this chapter we take a look at the application of replication techniques for building scalable distributed systems. Unlike using replication for attaining dependability, replica...
We consider kernel density estimation when the observations are contaminated by measurement errors. It is well known that the success of kernel estimators depends heavily on the c...
The notion of algorithmic stability has been used effectively in the past to derive tight generalization bounds. A key advantage of these bounds is that they are designed for spec...