Abstract— This paper describes a novel algorithm for autonomous and incremental learning of motion pattern primitives by observation of human motion. Human motion patterns are ed...
In spite of the initialization problem, the ExpectationMaximization (EM) algorithm is widely used for estimating the parameters in several data mining related tasks. Most popular ...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
materialized view selection is a non-trivial task. Hence, its complexity must be reduced. A judicious choice of views must be costdriven and influenced by the workload experienced...
Abstract. We present PerfMiner, a system for the transparent collection, storage and presentation of thread-level hardware performance data across an entire cluster. Every sub-proc...
Philip Mucci, Daniel Ahlin, Johan Danielsson, Per ...
As the technology for high-speed networks has evolved over the last decade, the interconnection of commodity computers (e.g., PCs and workstations) at gigabit rates has become a re...
Mark Baker, Paul A. Farrell, Hong Ong, Stephen L. ...