Background subtraction, although being a very well-established field, has required
significant research efforts to tackle unsolved challenges and to accelerate the progress …

Traditional spectral-based methods such as PCA are popular for anomaly detection in a
variety of problems and domains. However, if data includes tensor (multiway) structure (eg …

Tensor completion is a problem of filling the missing or unobserved entries of partially
observed tensors. Due to the multidimensional character of tensors in describing complex …

Visual object tracking is a significant computer vision task which can be applied to many
domains, such as visual surveillance, human computer interaction, and video compression …

Online object tracking is a challenging problem as it entails learning an effective model to
account for appearance change caused by intrinsic and extrinsic factors. In this paper, we …

Background modeling is currently used to detect moving objects in video acquired from
static cameras. Numerous statistical methods have been developed over the recent years …

Visual tracking using multiple features has been proved as a robust approach because
features could complement each other. Since different types of variations such as …

In this paper, we propose a generative tracking method based on a novel robust linear
regression algorithm. In contrast to existing methods, the proposed Least Soft-thresold …

Tensors are a natural representation for multidimensional data. In recent years,
CANDECOMP/PARAFAC (CP) decomposition, one of the most popular tools for analyzing …

In recommender systems user preferences can be fairly dynamic, as users tend to exploit a
wide range of items and modify their tastes accordingly over time. In this paper, we model …