Results 31 to 40 of about 1,904,151 (273)

Feature integration using a feature construct

Science of Computer Programming, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Plath, Malte, Ryan, Mark
openaire   +2 more sources

Contour Integration in Dynamic Scenes: Impaired Detection Performance in Extended Presentations

Frontiers in Psychology, 2017
Since scenes in nature are highly dynamic, perception requires an on-going and robust integration of local information into global representations. In vision, contour integration (CI) is one of these tasks, and it is performed by our brain in a seemingly
Axel Grzymisch, Cathleen Grimsen, Udo A. Ernst   +2 more
doaj   +1 more source

Discriminative feature integration by individuals

Acta Psychologica, 1993
A tactile pattern on the skin generally comes to be recognised from its function within action. What is perceived tactually and may generate a textural or geometrical sensation is therefore a set of dynamic characteristics that can be extracted by mechanoreceptors and central neural processing from the physics of the interactions of hands, mouth or ...
D A, Booth, R P, Freeman
openaire   +2 more sources

Musicians show more integrated neural processing of contextually relevant acoustic features

Frontiers in Neuroscience, 2022
Little is known about expertise-related plasticity of neural mechanisms for auditory feature integration. Here, we contrast two diverging hypotheses that musical expertise is associated with more independent or more integrated predictive processing of ...
Niels Chr. Hansen, Niels Chr. Hansen, Niels Chr. Hansen, Andreas Højlund, Andreas Højlund, Cecilie Møller, Cecilie Møller, Marcus Pearce, Marcus Pearce, Peter Vuust   +9 more
doaj   +1 more source

Rapid Processing of a Global Feature in the ON Visual Pathways of Behaving Monkeys

Frontiers in Neuroscience, 2017
Visual objects are recognized by their features. Whereas, some features are based on simple components (i.e., local features, such as orientation of line segments), some features are based on the whole object (i.e., global features, such as an object ...
Jun Huang, Jun Huang, Yan Yang, Ke Zhou, Ke Zhou, Ke Zhou, Xudong Zhao, Quan Zhou, Hong Zhu, Hong Zhu, Hong Zhu, Yingshan Yang, Chunming Zhang, Yifeng Zhou, Yifeng Zhou, Wu Zhou, Wu Zhou, Wu Zhou   +17 more
doaj   +1 more source

'A Deep Trade Agenda': The convergence of trade and Fundamental Rights [PDF]

, 2020
A key feature of the latest EU trade negotiations was the pursuance of a “deep trade agenda” for “deep integration” with the trade partners. The concept of “deep” has yet remained unexplored from a fundamental rights perspective.
Mancini, I.
core   +2 more sources

Research on Small-Target Detection of Flax Pests and Diseases in Natural Environment by Integrating Similarity-Aware Activation Module and Bidirectional Feature Pyramid Network Module Features

Agronomy
In the detection of the pests and diseases of flax, early wilt disease is elusive, yellow leaf disease symptoms are easily confusing, and pest detection is hampered by issues such as diversity in species, difficulty in detection, and technological ...
Manxi Zhong, Yue Li, Yuhong Gao
doaj   +1 more source

An Integrated Feature Framework for Wetland Mapping Using Multi-Source Imagery

Remote Sensing
Accurate extraction of land cover information and effective classification strategies are crucial for reliable wetland mapping. Data-driven approaches, such as convolutional neural networks (CNNs), demonstrate strong capability in modeling complex ...
Liansong Zhang, Zixuan Wang, Jifei Wang, Qiang Hu, Yonglei Chang, Zhong Lu, Jinqi Zhao   +6 more
doaj   +1 more source

Adaptive Weighted CNN Features Integration for Correlation Filter Tracking

IEEE Access, 2019
Visual object tracking is an active and challenging research topic in computer vision, as objects often undergo significant appearance changes caused by occlusion, deformation, and background clutter.
Chunbao Li, Bo Yang
doaj   +1 more source

Multiscale Wavelet and Graph Network With Spectral Self-Attention for Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral image (HSI) classification has gained increasing attention in remote sensing due to its finegrained spectral information. However, existing methods still face significant challenges in preserving high-frequency details, modeling long-range ...
Anyembe C. Shibwabo, Zou Bin, Tahir Arshad, Jorge Abraham Rios Suarez   +3 more
doaj   +1 more source