Kernelized sorting is an approach for matching objects from two sources (or domains) that does not require any prior notion of similarity between objects across the two sources. U...
Jagadeesh Jagarlamudi, Seth Juarez, Hal Daum&eacut...
In this paper we propose a parallel approach for the Kmeans Vector Quantization (VQ) algorithm used in a twostage Hidden Markov Model (HMM)-based system for recognizing handwritte...
Alceu de Souza Britto Jr., Paulo Sergio Lopes de S...
In this paper we present an approach for analysis of systems of parallel, communicating processes for SoC design. We present a method to detect communications that synchronize the...
Axel Siebenborn, Oliver Bringmann, Wolfgang Rosens...
K-Means is a clustering algorithm that is widely applied in many elds, including pattern classi cation and multimedia analysis. Due to real-time requirements and computational-cos...
The RTSJ memory model propose a mechanism based on a scope three containing all region-stacks in the system and a reference-counter collector. In order to avoid reference cycles a...