Results 1 to 10 of about 11,679,849 (299)
Lateralization and cognitive systems. [PDF]
Front Psychol, 2014 Left-right asymmetries of structure and function are a common organization principle in the brains of humans and non-human vertebrates alike. While there are inherently asymmetric systems such as the human language system or the song system of songbirds, the impact of structural or functional asymmetries on perception, cognition and behavior is not ...
Ocklenburg S +3 more
europepmc +6 more sources
Optimality and Limitations of Audio-Visual Integration for Cognitive Systems [PDF]
Frontiers in Robotics and AI, 2020 Multimodal integration is an important process in perceptual decision-making. In humans, this process has often been shown to be statistically optimal, or near optimal: sensory information is combined in a fashion that minimizes the average error in ...
William Paul Boyce +5 more
doaj +2 more sources
Using Peircean Semiotics as the Grounding of Cognition
Proceedings, 2022 This is a work in progress that aims to study Semiotic Theory as the grounding to support the development of new models of mind. These models can be used to construct artificial intelligent agents to deal with several tasks in the real world.
Eduardo Camargo, Ricardo Gudwin
doaj +1 more source
Journal of NeuroEngineering and Rehabilitation, 2022 Soft exosuits offer promise to support users in everyday workload tasks by providing assistance. However, acceptance of such systems remains low due to the difficulty of control compared with rigid mechatronic systems.
Nicholas Tacca +4 more
doaj +1 more source
Scientific Reports, 2021 The capacity to regulate one’s attention in accordance with fluctuating task demands and environmental contexts is an essential feature of adaptive behavior.
Magnus Liebherr +9 more
doaj +1 more source
An improved YOLOv3 model based on skipping connections and spatial pyramid pooling
Systems Science & Control Engineering, 2021 The cascaded deep-learning network of YOLOv3 emphasizes on the layer-wise feature extraction. It neglects the sequential influence among the layers that contributes to the subtle features for the objects detection.
Xinliang Zhang +3 more
doaj +1 more source
Machine Learning and Knowledge Extraction, 2022 Interactive Machine Learning (IML) can enable intelligent systems to interactively learn from their end-users, and is quickly becoming more and more relevant to many application domains.
Sebastian Kiefer +2 more
doaj +1 more source
Few-Shot Induction of Generalized Logical Concepts via Human Guidance
Frontiers in Robotics and AI, 2020 We consider the problem of learning generalized first-order representations of concepts from a small number of examples. We augment an inductive logic programming learner with 2 novel contributions.
Mayukh Das +3 more
doaj +1 more source
Comprehensive Analysis of the Object Detection Pipeline on UAVs
Remote Sensing, 2022 An object detection pipeline comprises a camera that captures the scene and an object detector that processes these images. The quality of the images directly affects the performance of the object detector.
Leon Amadeus Varga +2 more
doaj +1 more source
TOWARDS RULE-GUIDED CLASSIFICATION FOR VOLUNTEERED GEOGRAPHIC INFORMATION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Crowd-sourcing, especially in form of Volunteered Geographic Information (VGI) significantly changed the way geographic data is collected and the products that are generated from them.
A. Loai Ali +3 more
doaj +1 more source