Results 11 to 20 of about 1,076,996 (267)

A Regularized Attention Mechanism for Graph Attention Networks [PDF]

open access: yesICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
Machine learning models that can exploit the inherent structure in data have gained prominence. In particular, there is a surge in deep learning solutions for graph-structured data, due to its wide-spread applicability in several fields. Graph attention networks (GAT), a recent addition to the broad class of feature learning models in graphs, utilizes ...
Uday Shankar Shanthamallu   +2 more
openaire   +2 more sources

Densely attention mechanism based network for COVID-19 detection in chest X-rays

open access: yes, 2023
Automatic COVID-19 detection using chest X-ray (CXR) can play a vital part in large-scale screening and epidemic control. However, the radiographic features of CXR have different composite appearances, for instance, diffuse reticular-nodular opacities ...
Latif, Siddique   +3 more
core   +1 more source

Competitive Market-based Allocation of Consumer Attention [PDF]

open access: yes, 2001
The amount of attention space available for recommending suppliers to consumers on e-commerce sites is typically limited. We present a competitive distributed recommendation mechanism based on adaptive software agents for efficiently allocating the ...
Enrico Gerding   +12 more
core   +1 more source

Attention: the mechanisms of consciousness. [PDF]

open access: yesProceedings of the National Academy of Sciences, 1994
A number of recent papers and books discuss theoretical efforts toward a scientific understanding of consciousness. Progress in imaging networks of brain areas active when people perform simple tasks may provide a useful empirical background for distinguishing conscious and unconscious information processing. Attentional networks include those involved
openaire   +2 more sources

The control of attention to faces [PDF]

open access: yes, 2007
Humans attend to faces. This study examines the extent to which attention biases to faces are under top-down control. In a visual cueing paradigm, observers responded faster to a target probe appearing in the location of a face cue than of a competing ...
Schweinberger, S   +18 more
core   +1 more source

Attention mechanisms in the CHREST cognitive architecture [PDF]

open access: yes, 2008
In this paper, we describe the attention mechanisms in CHREST, a computational architecture of human visual expertise. CHREST organises information acquired by direct experience from the world in the form of chunks.
Lane, Peter C.R.   +11 more
core   +1 more source

Swarmic Sketches and Attention Mechanism [PDF]

open access: yes, 2013
This paper introduces a novel approach deploying the mechanism of ‘attention’ by adapting a swarm intelligence algorithm – Stochastic Diffusion Search – to selectively attend to detailed areas of a digital canvas. Once the attention of the swarm is drawn to a certain line within the canvas, the capability of another swarm intelligence algorithm ...
Mohammad Majid al-Rifaie   +1 more
openaire   +2 more sources

Telephone conversation impairs sustained visual attention via a central bottleneck [PDF]

open access: yes, 2008
Recent research has shown that holding telephone conversations disrupts one's driving ability. We asked whether this effect could be attributed to a visual attention impairment.
Randall Carter   +7 more
core   +1 more source

Action–based mechanisms of attention

open access: yesPhilosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 1998
Actions, which have effects in the external world, must be spatiotopically represented in the brain. The brain is capable of representing space in many different forms (e.g. retinotopic–, environment–, head– or shoulder–centred), but we maintain that actions are represented in action–centred space, meaning that, at the cellular level, the direction of ...
S P, Tipper, L A, Howard, G, Houghton
openaire   +3 more sources

Gender Recognition Using a Gaze-Guided Self-Attention Mechanism Robust Against Background Bias in Training Samples [PDF]

open access: yes, 2022
We propose an attention mechanism in deep learning networks for gender recognition using the gaze distribution of human observers when they judge the gender of people in pedestrian images.
ニシヤマ, マサシ   +25 more
core   +1 more source

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