Caudate nucleus reactivity predicts perceptual learning rate for visual feature conjunctions.
Eric A. ReavisSebastian M. FrankPeter U. TsePublished in: NeuroImage (2015)
Keyphrases
- learning rate
- visual features
- caudate nucleus
- low level
- visual information
- image classification
- learning algorithm
- convergence rate
- brain mapping
- low level features
- image retrieval
- human visual system
- high level
- convergence speed
- keywords
- automatic image annotation
- rapid convergence
- content based video retrieval
- web images
- visual data
- adaptive learning rate
- image annotation
- delta bar delta
- optimization algorithm
- healthy subjects
- convergence theorem
- color histogram
- saliency map
- image analysis
- high dimensional
- data analysis
- image processing
- computer vision
- genetic algorithm
- neural network