This study presents a comprehensive review of the automated classification in partial
discharge (PD) source identification and probabilistic interpretation of the classification …

Many clinical procedures could benefit from automatic scene segmentation and subsequent
action recognition. Using Convolutional Neural Networks to semantically segment …

Graphcut-based algorithm is adopted in many video object segmentation systems because
different terms can be probabilistically fused together in a framework. Constructing spatio …

Video object segmentation has been extensively investigated in computer vision recently
because of its wide range of applications. The key factor of the segmentation is the …

Human action recognition in videos draws huge research interests in computer vision. The
Bag-of-Word model is quite commonly used to obtain the video level representations …

The vibration signals of rotating machinery are frequently disturbed by background noise
and external disturbances because of the equipment's particular working environment. Thus …

In this paper, we study a variant of the M INIMUM D OMINATING S ET problem. Given an
unweighted undirected graph G=(V, E) of n=| V| vertices, the goal of the M INIMUM S INGLE …