The emergence of human-like abilities of AI systems for content generati...
We propose a class of models based on Fisher's Linear Discriminant (FLD)...
A key barrier to using reinforcement learning (RL) in many real-world
ap...
In this paper, we study an unmanned aerial vehicle (UAV) enabled data
co...
Deep neural networks are susceptible to label noise. Existing methods to...
We consider the problem of extracting features from passive, multi-chann...
Research on both natural intelligence (NI) and artificial intelligence (...
In modern ranking problems, different and disparate representations of t...
In this paper, we investigate the optimal design of a wireless-powered c...
The success of state-of-the-art machine learning is essentially all base...
In applications where categorical labels follow a natural hierarchy,
cla...
Herein we define a measure of similarity between classification distribu...
In this letter, we investigate a UAV-enabled communication system, where...
This paper considers the graph signal processing problem of anomaly dete...
In this letter, we consider the requirement of information freshness in
...
Case records on identified victims of human trafficking are highly sensi...
In biological learning, data is used to improve performance on the task ...
In biological learning, data is used to improve performance on the task ...
In this letter, we investigate the robust and secure beamforming (RSBF) ...
The basis of generating secret key from the common wireless channel at t...