Results 41 to 50 of about 260,048 (97)
A Cognitive Method for Musicology Based Melody Transcription [PDF]
This paper describes a method for transcribing the main structure of polyphonic music audio automatically by analyzing musical tonality related musicological information. Music transcription is a difficult topic in Music Information Retrieval (MIR) which
Jiayin Sun, Hongyan Wang
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Simulating reaction time for Eureka effect in visual object recognition using artificial neural network [PDF]
The human brain can recognize objects hidden in even severely degraded images after observing them for a while, which is known as a type of Eureka effect, possibly associated with human creativity. A previous psychological study suggests that the basis of this "Eureka recognition" is neural processes of coincidence of multiple stochastic activities ...
arxiv
A Deep Drift-Diffusion Model for Image Aesthetic Score Distribution Prediction [PDF]
The task of aesthetic quality assessment is complicated due to its subjectivity. In recent years, the target representation of image aesthetic quality has changed from a one-dimensional binary classification label or numerical score to a multi-dimensional score distribution.
arxiv
Although both resting and task-induced functional connectivity (FC) have been used to characterize the human brain and cognitive abilities, the potential of task-induced FCs in individualized prediction for out-of-scanner cognitive traits remains largely
Rongtao Jiang+11 more
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Motion Planning Combines Psychological Safety and Motion Prediction for a Sense Motive Robot [PDF]
Human safety is the most important demand for human robot interaction and collaboration (HRIC), which not only refers to physical safety, but also includes psychological safety. Although many robots with different configurations have entered our living and working environments, the human safety problem is still an ongoing research problem in human ...
arxiv
Real-world objects are more memorable than photographs of objects
Research studies in psychology typically use two-dimensional (2D) images of objects as proxies for real-world three-dimensional (3D) stimuli. There are, however, a number of important differences between real objects and images that could influence ...
Jacqueline C Snow+3 more
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Social Media Unrest Prediction during the {COVID}-19 Pandemic: Neural Implicit Motive Pattern Recognition as Psychometric Signs of Severe Crises [PDF]
The COVID-19 pandemic has caused international social tension and unrest. Besides the crisis itself, there are growing signs of rising conflict potential of societies around the world. Indicators of global mood changes are hard to detect and direct questionnaires suffer from social desirability biases.
arxiv
Machine learning and essentialism
Machine learning and essentialism have been connected in the past by various researchers, in order to state that the main paradigm in machine learning processes is equivalent to choosing the “essential” attributes for the machine to search for.
Kristina Šekrst, Sandro Skansi
doaj
Background: Current fMRI-based classification approaches mostly use functional connectivity or spatial maps as input, instead of exploring the dynamic time courses directly, which does not leverage the full temporal information. Methods: Motivated by the
Weizheng Yan+24 more
doaj
Opposite Epigenetic Associations With Alcohol Use and Exercise Intervention
Alcohol use disorder (AUD) is a devastating public health problem in which both genetic and environmental factors play a role. Growing evidence supports that epigenetic regulation is one major mechanism in neuroadaptation that contributes to development ...
Jiayu Chen+14 more
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