Abstract Human Motion Analysis (HMA) is currently one of the most popularly active
research domains as such significant research interests are motivated by a number of real …

Feature selection improves the quality of the model by filtering out the noisy or redundant
part. In the unsupervised scenarios, the selection is challenging due to the unavailability of …

In this paper, a human action recognition method based on the kernelized Grassmann
manifold learning is introduced. The goal is to find a map which transfers the high …

Recent years have witnessed the fast development of social media platforms, such as
Twitter, Sina Weibo, and Wechat. Practically, the textual weibos are frequently uploaded with …

Recent years have witnessed the fast development of multimedia platforms in China, such
as Youku, LeTV and Weibo. Images and videos are usually uploaded with textual …

Dictionary learning is a method of acquiring a collection of atoms for subsequent signal
representation. Due to its excellent representation ability, dictionary learning has been …

Intrusion detection systems play an important role in numerous industrial applications, such
as network security and abnormal event detection. They effectively protect our critical …

Retraction Note to: Discovering Graphical Visual Features for Abnormal Semantic Event Detection
Retraction Note to: Discovering Graphical Visual Features for Abnormal Semantic Event Detection …

Early human action detection is an important computer vision task with a wide spectrum of
potential applications. Most existing methods deal with the detection of an action after its …

Early human action detection is an important computer vision task with a wide spectrum of
potential applications. Most existing methods deal with the detection of an action after its …