We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
Abstract-- This work aims at measuring familiarity to contribute to the formalization of trust. Trust has always been bundled with familiarity to become a popular topic in the area...
Graph-based modeling has emerged as a powerful abstraction capable of capturing in a single and unified framework many of the relational, spatial, topological, and other characteri...
—Clock jitter and its effects on signal-to-noise ratio (SNR) were widely investigated in the published literatures. However, most of the issues mainly focused on white-Gaussian-n...
Visual tracking with moving cameras is a challenging task. The global motion induced by the moving camera moves the target object outside the expected search area, according to th...