Time series pattern mining (TSPM) finds correlations or dependencies in same series or in multiple time series. When the numerous instances of multiple time series data are associ...
We propose a novel method for automatically discover-ing key motion patterns happening in a scene by observing the scene for an extended period. Our method does not rely on object ...
A novel tensor decomposition called pattern or P-decomposition is proposed to make it possible to identify replicating structures in complex data, such as textures and patterns in ...
Anh Huy Phan, Andrzej Cichocki, Petr Tichavsk&yacu...
A novel background generation method based on nonparametric background model is presented for background subtraction. We introduce a new model, named as effect components descript...
With scaling of CMOS technologies, sub-threshold, gate and reverse biased junction band-to-band-tunneling leakage have increased dramatically. Together they account for more than 2...