This paper develops and investigates a new approach for evaluating feature based object hypotheses in a direct way. The idea is to compute a feature likelihood map (FLM), which is ...
-In this paper, we present a fast and scalable pipelined priority queue architecture for use in high-performance switches with support for fine-grained quality of service (QoS) gu...
— This paper proposes a controlled-load service that provides a network state with bounded and well known worst-case behavior. The service is primarily developed for real-time ap...
A new method for the simplification of flow fields is presented. It is based on continuous clustering. A well-known physical clustering model, the Cahn Hillard model which desc...
Abstract. Feature Extraction, also known as Multidimensional Scaling, is a basic primitive associated with indexing, clustering, nearest neighbor searching and visualization. We co...