We investigate techniques for analysis and retrieval of object trajectories in a two or three dimensional space. Such kind of data usually contain a great amount of noise, that ma...
Michail Vlachos, Dimitrios Gunopulos, George Kolli...
We consider the general problem of tracking moving objects in sensor networks. The specific application we consider is that of tracking a chemical plume moving over a large infra...
We examine correlations in a time series of electric power system blackout sizes using scaled window variance analysis and R/S statistics. The data shows some evidence of long tim...
Benjamin A. Carreras, David E. Newman, Ian Dobson,...
Timing-driven placement is a critical step in nanometerscale physical synthesis. To improve design timing on a global scale, net-weight based global timing-driven placement is a c...
Natarajan Viswanathan, Gi-Joon Nam, Jarrod A. Roy,...
Similarity-based search over time-series databases has been a hot research topic for a long history, which is widely used in many applications, including multimedia retrieval, dat...
Qiuxia Chen, Lei Chen 0002, Xiang Lian, Yunhao Liu...