The applicability of network-based computing depends on the availability of the underlying network bandwidth. However, network resources are shared and the available network bandw...
We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
— Over the last years, the Internet has evolved towards becoming the dominant platform for deploying real time and multimedia services. This evolution has had as a consequence th...
Several spatio-temporal data collected in many applications, such as fMRI data in medical applications, can be represented as a Multivariate Time Series (MTS) matrix with m rows (...
This paper presents a new scheme for acquiring 3D kinematic structure and motion from time-series volume data, in particular, focusing on human body. Our basic strategy is to first...