— Part of the challenge of modeling protein sequences is their discrete nature. Many of the most powerful statistical and learning techniques are applicable to points in a Euclid...
Abstract. Many previous studies have examined the placement of access points (APs) to improve the community’s understanding of the deployment and behavioral characteristics of wi...
Dongsu Han, David G. Andersen, Michael Kaminsky, K...
We study what the existence of a classical embedding between computable structures implies about the existence of computable embeddings. In particular, we consider the effect of fi...
Abstract. Structural computing is a new paradigm for developing applications in new domains. One of its benefits is that adaptation of behavior--as a consequence of changes of the ...
This paper presents a new method for detecting scale invariant interest points. The method is based on two recent results on scale space: 1) Interest points can be adapted to scal...