Journal ArticleDOI
Speed of processing in the human visual system
TLDR
In this paper, the authors used a go/no-go categorization task in which subjects have to decide whether a previously unseen photograph, flashed on for just 20 ms, contains an animal.About:
This article is published in American Journal of Ophthalmology.The article was published on 1996-10-01. It has received 923 citations till now. The article focuses on the topics: Visual processing & Human visual system model.read more
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Rhythms of the brain
TL;DR: The brain's default state: self-organized oscillations in rest and sleep, and perturbation of the default patterns by experience.
Proceedings ArticleDOI
A Bayesian hierarchical model for learning natural scene categories
Li Fei-Fei,Pietro Perona +1 more
TL;DR: This work proposes a novel approach to learn and recognize natural scene categories by representing the image of a scene by a collection of local regions, denoted as codewords obtained by unsupervised learning.
Journal ArticleDOI
The lateral occipital complex and its role in object recognition.
TL;DR: Overall, these results indicate that the lateral occipital complex plays an important role in human object recognition.
Proceedings ArticleDOI
SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Category Recognition
TL;DR: This work considers visual category recognition in the framework of measuring similarities, or equivalently perceptual distances, to prototype examples of categories and proposes a hybrid of these two methods which deals naturally with the multiclass setting, has reasonable computational complexity both in training and at run time, and yields excellent results in practice.
Journal ArticleDOI
The fundamental plan of the retina
TL;DR: The fundamental structural principles of the retina give a bottom-up view of the strategies used in the retina's processing of visual information and suggest new questions for physiological experiments and modeling.
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Competition and selection during visual processing of natural scenes and objects.
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