As the field of deep learning steadily transitions from the realm of aca...
Understanding the mechanisms underlying human attention is a fundamental...
Clustering is at the very core of machine learning, and its applications...
Existing models of human visual attention are generally unable to incorp...
Humans innately measure distance between instances in an unlabeled datas...
By and large, existing computational models of visual attention tacitly
...
The correct interpretation and understanding of deep learning models is
...
This article presents SVC-onGoing, an on-going competition for on-line
s...
This paper describes the experimental framework and results of the ICDAR...
Most online handwriting recognition systems require the use of specific
...
Progress in making neural networks more robust against adversarial attac...
The susceptibility of deep neural networks to untrustworthy predictions,...
The most important goal of customer services is to keep the customer
sat...
Visual attention refers to the human brain's ability to select relevant
...
Fast reactions to changes in the surrounding visual environment require
...
Human visual attention is a complex phenomenon. A computational modeling...
It is well known that a systematic analysis of the pupil size variations...
The effectiveness of deep neural architectures has been widely supported...
In the last three decades, human visual attention has been a topic of gr...
This report provides an introduction to some Machine Learning tools with...