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...
K-Means is a clustering algorithm that is widely applied in many fields, including pattern classification and multimedia analysis. Due to real-time requirements and computational-c...
This paper proposes a clustering approach to parameter estimation in distributed sensor networks. The proposed approach is an alternative to the conventional centralized and decen...
Stefan Werner, Mobien Mohammed, Yih-Fang Huang, Vi...
Computer systems have become powerful enough to process continuous data streams such as video or animated graphics. While processing power and communication bandwidth of today...
MPEG-4 Fine Granularity Scalability (FGS) provides bandwidth adaptation and error resilience features for streaming applications. In this paper. by estimating the required computa...