In this paper the node-level decision unit of a self-learning anomaly detection mechanism for office monitoring with wireless sensor nodes is presented. The node-level decision uni...
We present a technique for memory-efficient and time-efficient volume rendering of curvilinear adaptive mesh refinement data defined within extrudable computational spaces. One of...
A large body of research literature has focused on improving the performance of longest prefix match IP-lookup. More recently, embedded memory based architectures have been propos...
Sailesh Kumar, Michela Becchi, Patrick Crowley, Jo...
This paper addresses the problem of applying powerful pattern recognition algorithms based on kernels to efficient visual tracking. Recently Avidan [1] has shown that object recog...
Oliver M. C. Williams, Andrew Blake, Roberto Cipol...
This paper presents scalable algorithms for recovery and page coherency in multicomputer object stores. Recovery and coherency are central to object store engineering and distribu...
Stephen M. Blackburn, Robin B. Stanton, Stephan J....