Results 11 to 20 of about 176,051 (264)
Examining the impact of cue similarity and fear learning on perceptual tuning
Scientific Reports, 2023 Past research on the effects of associative aversive learning on discrimination acuity has shown mixed results, including increases, decreases, and no changes in discrimination ability.
Jonas Zaman +4 more
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Learning to live with discrimination
European Journal for Research on the Education and Learning of Adults, 2023 Otherness is one issue that comes up when discussing migration, and when it comes to asylum seeking in Europe, the topic of discrimination is a pivotal one also due to the rise of nationalistic political parties in the last few years.
Darasimi Oshodi
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Bigfin reef squid demonstrate capacity for conditional discrimination and projected future carbon dioxide levels have no effect on learning capabilities [PDF]
PeerJ, 2020 Anthropogenic carbon dioxide (CO2) emissions are being absorbed by the oceans, a process known as ocean acidification, and risks adversely affecting a variety of behaviours in a range of marine species, including inhibited learning in some fishes ...
Blake L. Spady, Sue-Ann Watson
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Transfer in Rule-Based Category Learning Depends on the Training Task. [PDF]
PLoS ONE, 2016 While learning is often highly specific to the exact stimuli and tasks used during training, there are cases where training results in learning that generalizes more broadly.
Florian Kattner +2 more
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Discriminately decreasing discriminability with learned image filters [PDF]
2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012 In machine learning and computer vision, input images are often filtered to increase data discriminability. In some situations, however, one may wish to purposely decrease discriminability of one classification task (a "distractor" task), while simultaneously preserving information relevant to another (the task-of-interest): For example, it may be ...
Jacob Whitehill, Javier R. Movellan
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Associative learning shapes visual discrimination in a web-based classical conditioning task
Scientific Reports, 2021 Threat detection plays a vital role in adapting behavior to changing environments. A fundamental function to improve threat detection is learning to differentiate between stimuli predicting danger and safety. Accordingly, aversive learning should lead to
Yannik Stegmann +3 more
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NeuroImage, 2023 Learning new words in an unfamiliar language is a complex endeavor that requires the orchestration of multiple perceptual and cognitive functions. Although the neural mechanisms governing word learning are becoming better understood, little is known ...
Stefan Elmer +3 more
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The Spectral-Spatial Joint Learning for Change Detection in Multispectral Imagery
Remote Sensing, 2019 Change detection is one of the most important applications in the remote sensing domain. More and more attention is focused on deep neural network based change detection methods.
Wuxia Zhang, Xiaoqiang Lu
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More Than Eggs – Relationship Between Productivity and Learning in Laying Hens
Frontiers in Psychology, 2018 The intense selection of chickens for production traits, such as egg laying, is thought to cause undesirable side effects and changes in behavior. Trade-offs resulting from energy expenditure in productivity may influence other traits: in order to ...
Anissa Dudde +5 more
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Discriminative learning of apparel features [PDF]
2015 14th IAPR International Conference on Machine Vision Applications (MVA), 2015 Fashion is a major segment in e-commerce with growing importance and a steadily increasing number of products. Since manual annotation of apparel items is very tedious, the product databases need to be organized automatically, e.g. by image classification.
Rothe, Rasmus +3 more
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