Results 21 to 30 of about 4,859,978 (293)
Common and unique multimodal covarying patterns in autism spectrum disorder subtypes
Molecular Autism, 2020 Background The heterogeneity inherent in autism spectrum disorder (ASD) presents a substantial challenge to diagnosis and precision treatment. Heterogeneity across biological etiologies, genetics, neural systems, neurocognitive attributes and clinical ...
Shile Qi +8 more
doaj +1 more source
A Psychological Analysis of the Personality Type of King in Masnavi’s Story of ‘King and Maid’ Based on the Model of Enneagram [PDF]
Matn/Pizhūhī-i Adabī, 2017 Enneagram is one of the important patterns for character recognition in modern psychology that can be used for the recognition of a person’s personality type from among the nine possible personality types.
Bita Rezaei +3 more
doaj +1 more source
Dominant and Complementary Emotion Recognition From Still Images of Faces
IEEE Access, 2018 Emotion recognition has a key role in affective computing. Recently, fine-grained emotion analysis, such as compound facial expression of emotions, has attracted high interest of researchers working on affective computing.
Jianzhu Guo +12 more
doaj +1 more source
Rapid face recognition using hashing [PDF]
, 2010 We propose a face recognition approach based on hashing. The approach yields comparable recognition rates with the random ℓ1 approach, which is considered the state-of-the-art. But our method is much faster: it is up to 150 times faster than on the YaleB
Shen, Chunhua +8 more
core +1 more source
NeuroImage, 2020 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
doaj +1 more source
EBioMedicine, 2019 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 +1 more source
Motor Sequence Learning and Pattern Recognition in Youth at Clinical High-Risk for Psychosis
Schizophrenia Research, 2019 Katherine S. F. Damme1, Natalie Gallagher1, Teresa Vargas1, K. Juston Osborne1, Tina Gupta1, and Vijay Mittal1,2,3,4,5 1Department of Psychology, Northwestern University, Evanston, IL, USA 2Department of Psychiatry, Northwestern University, Chicago, IL ...
Katherine S. F. Damme +5 more
semanticscholar +1 more source
A Fechner multiscale local descriptor for face recognition
Journal of Supercomputing, 2023 Inspired by Fechner's law, we propose a Fechner multiscale local descriptor (FMLD) for feature extraction and face recognition. Fechner's law is a well-known law in psychology, which states that a human perception is proportional to the logarithm of the ...
Jinxiang Feng +3 more
semanticscholar +1 more source
The Role of Verbal Instruction and Visual Guidance in Training Pattern Recognition
Frontiers in Psychology, 2017 We used a novel approach to examine whether it is possible to improve the perceptual–cognitive skill of pattern recognition using a video-based training intervention.
J. North, E. Hope, A. Williams
semanticscholar +1 more source
Graph-based pattern recognition on spectral reduced graphs
, 2023 Institute of Computer Science, Pattern Recognition Group ...
Riesen, Kaspar +1 more
core +1 more source