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 decomposition has been demonstrated to be successful in a wide range of
applications, from neuroscience and wireless communications to social networks. In an …

Tensors, or multidimensional arrays, are data structures that can naturally represent visual
data of multiple dimensions. Inherently able to efficiently capture structured, latent semantic …

Overfitting is a common problem for computer vision applications It is a problem that when
training convolution neural networks and is caused by lack of training data or network …

In this paper, a novel image-based visual servoing (IBVS) method using Extreme Learning
Machine (ELM) and Q-learning is proposed to solve the problems of complex modeling and …

Dictionary learning (DL) is a popular approach of image classification. Most DL methods
ignore the information hidden in training samples or atoms, and thus cannot enhance the …

Hand gesture password might be the most natural and intuitive way to communicate
between people and machines, since it closely mimics how human interact with each other …

Fire is a fierce disaster, and smoke is the early signal of fire. Since such features as
chrominance, texture, and shape of smoke are very special, a lot of methods based on these …

Classification of video sequences is an important task with many applications in video
search and action recognition. As opposed to some traditional approaches that transform …

Tensor decomposition has been demonstrated to be successful in a wide range of
applications, from neuroscience and wireless communications to social networks. In an …