The past decade has witnessed a rapid proliferation of video cameras in all walks of life and
has resulted in a tremendous explosion of video content. Several applications such as …

Human activity recognition (HAR) is an important research area in the fields of human
perception and computer vision due to its wide range of applications. These applications …

In machine learning, if the training data is an unbiased sample of an underlying distribution,
then the learned classification function will make accurate predictions for new samples …

Adapting the classifier trained on a source domain to recognize instances from a new target
domain is an important problem that is receiving recent attention. In this paper, we present …

Vision-based human action recognition is the process of labeling image sequences with
action labels. Robust solutions to this problem have applications in domains such as visual …

Action recognition has become a very important topic in computer vision, with many
fundamental applications, in robotics, video surveillance, human–computer interaction, and …

The interest in action and gesture recognition has grown considerably in the last years. In
this paper, we present a survey on current deep learning methodologies for action and …

In this paper, we examine image and video-based recognition applications where the
underlying models have a special structure-the linear subspace structure. We discuss how …

One-class learning is the classic problem of fitting a model to data for which annotations are
available only for a single class. In this paper, we propose a novel objective for one-class …

Relationships between entities in datasets are often of multiple nature, like geographical
distance, social relationships, or common interests among people in a social network, for …