While analyzing CAIDA Internet traces of TCP traffic to detect instances of data reneging, we frequently observed seven misbehaviors in the generation of SACKs. These misbehaviors...
In this work we take a novel view of nonlinear manifold learning. Usually, manifold learning is formulated in terms of finding an embedding or `unrolling' of a manifold into ...
— For the collaborative control of a team of robots, a set of well-suited high-level control algorithms, especially for path planning and measurement scheduling, is essential. Th...
This paper addresses a common problem in dealing with range images. We propose a novel method to fit surfaces of known types via a parameter decomposition approach. This approach ...
Abstract. Autonomic computing networks manage multiple tasks over a distributed network of resources. In this paper, we view an autonomic computing system as a network of queues, w...