Thirty years of machine learning: The road to Pareto-optimal wireless networks
Future wireless networks have a substantial potential in terms of supporting a broad range of
complex compelling applications both in military and civilian fields, where the users are able …
complex compelling applications both in military and civilian fields, where the users are able …
On the use of simulation in robotics: Opportunities, challenges, and suggestions for moving forward
The last five years marked a surge in interest for and use of smart robots, which operate in
dynamic and unstructured environments and might interact with humans. We posit that well …
dynamic and unstructured environments and might interact with humans. We posit that well …
Attachment and trust in artificial intelligence
Lack of trust is one of the main obstacles standing in the way of taking full advantage of the
benefits artificial intelligence (AI) has to offer. Most research on trust in AI focuses on …
benefits artificial intelligence (AI) has to offer. Most research on trust in AI focuses on …
[图书][B] Human-robot interaction: An introduction
The role of robots in society keeps expanding and diversifying, bringing with it a host of
issues surrounding the relationship between robots and humans. This introduction to human …
issues surrounding the relationship between robots and humans. This introduction to human …
Abnormal behavior recognition for intelligent video surveillance systems: A review
AB Mabrouk, E Zagrouba - Expert Systems with Applications, 2018 - Elsevier
With the increasing number of surveillance cameras in both indoor and outdoor locations,
there is a grown demand for an intelligent system that detects abnormal events. Although …
there is a grown demand for an intelligent system that detects abnormal events. Although …
[HTML][HTML] A review of human activity recognition methods
Recognizing human activities from video sequences or still images is a challenging task due
to problems, such as background clutter, partial occlusion, changes in scale, viewpoint …
to problems, such as background clutter, partial occlusion, changes in scale, viewpoint …
Facial expression recognition via a boosted deep belief network
A training process for facial expression recognition is usually performed sequentially in three
individual stages: feature learning, feature selection, and classifier construction. Extensive …
individual stages: feature learning, feature selection, and classifier construction. Extensive …
Identity-aware convolutional neural network for facial expression recognition
Facial expression recognition suffers under realworldconditions, especially on unseen
subjects due to highinter-subject variations. To alleviate variations introduced bypersonal …
subjects due to highinter-subject variations. To alleviate variations introduced bypersonal …
A survey on health monitoring systems for health smart homes
Aging population ratios are rising significantly. Health monitoring systems (HMS) in smart
environments have evolved rapidly to become a viable alternative to traditional healthcare …
environments have evolved rapidly to become a viable alternative to traditional healthcare …
A survey of video datasets for human action and activity recognition
JM Chaquet, EJ Carmona… - Computer Vision and …, 2013 - Elsevier
Vision-based human action and activity recognition has an increasing importance among
the computer vision community with applications to visual surveillance, video retrieval and …
the computer vision community with applications to visual surveillance, video retrieval and …