AIMC Topic: Attention
Clear Filters Showing 451 to 460 of 575 articles
Deep Visual Attention Prediction.
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Dec 27, 2017
In this paper, we aim to predict human eye fixation with view-free scenes based on an end-to-end deep learning architecture. Although convolutional neural networks (CNNs) have made substantial improvement on human attention prediction, it is still ne...
Single-ended prediction of listening effort using deep neural networks.
Hearing research
Dec 27, 2017
The effort required to listen to and understand noisy speech is an important factor in the evaluation of noise reduction schemes. This paper introduces a model for Listening Effort prediction from Acoustic Parameters (LEAP). The model is based on met...
Tracking Gaze and Visual Focus of Attention of People Involved in Social Interaction.
IEEE transactions on pattern analysis and machine intelligence
Dec 13, 2017
The visual focus of attention (VFOA) has been recognized as a prominent conversational cue. We are interested in estimating and tracking the VFOAs associated with multi-party social interactions. We note that in this type of situations the participan...
CNNs-Based RGB-D Saliency Detection via Cross-View Transfer and Multiview Fusion.
IEEE transactions on cybernetics
Oct 31, 2017
Salient object detection from RGB-D images aims to utilize both the depth view and RGB view to automatically localize objects of human interest in the scene. Although a few earlier efforts have been devoted to the study of this paper in recent years,...
Emotional metacontrol of attention: Top-down modulation of sensorimotor processes in a robotic visual search task.
PloS one
Sep 21, 2017
Emotions play a significant role in internal regulatory processes. In this paper, we advocate four key ideas. First, novelty detection can be grounded in the sensorimotor experience and allow higher order appraisal. Second, cognitive processes, such ...
Predicting clinical symptoms of attention deficit hyperactivity disorder based on temporal patterns between and within intrinsic connectivity networks.
Neuroscience
Aug 24, 2017
Attention deficit hyperactivity disorder (ADHD) is a common brain disorder with high prevalence in school-age children. Previously developed machine learning-based methods have discriminated patients with ADHD from normal controls by providing label ...
Human interaction with robotic systems: performance and workload evaluations.
Ergonomics
Jul 26, 2017
We first tested the effect of differing tactile informational forms (i.e. directional cues vs. static cues vs. dynamic cues) on objective performance and perceived workload in a collaborative human-robot task. A second experiment evaluated the influe...
Fuzzy Classification of High Resolution Remote Sensing Scenes Using Visual Attention Features.
Computational intelligence and neuroscience
Jul 6, 2017
In recent years the spatial resolutions of remote sensing images have been improved greatly. However, a higher spatial resolution image does not always lead to a better result of automatic scene classification. Visual attention is an important charac...
Randomized Trial on the Effects of Attentional Focus on Motor Training of the Upper Extremity Using Robotics With Individuals After Chronic Stroke.
Archives of physical medicine and rehabilitation
Jun 24, 2017
OBJECTIVE: To compare the long-term effects of external focus (EF) and internal focus (IF) of attention after 4 weeks of arm training.
Representation learning via Dual-Autoencoder for recommendation.
Neural networks : the official journal of the International Neural Network Society
Mar 27, 2017
Recommendation has provoked vast amount of attention and research in recent decades. Most previous works employ matrix factorization techniques to learn the latent factors of users and items. And many subsequent works consider external information, e...
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