Results 11 to 20 of about 1,076,996 (267)
A Regularized Attention Mechanism for Graph Attention Networks [PDF]
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
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]
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]
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]
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]
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]
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]
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
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]
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

