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Unsupervised visual discrimination learning of complex stimuli: Accuracy, bias and generalization
(Elsevier, 2018-07)
Through same-different judgements, we can discriminate an immense variety of stimuli and consequently, they are critical in our everyday interaction with the environment. The quality of the judgements depends on familiarity ...
ANALYSIS OF A GUIDED‐RESPONSE PROCEDURE IN VISUAL DISCRIMINATIONS BY RATS
(1987)
A guided‐response procedure was used to train a visual pattern discrimination by rats in a modified Sutherland box. The method consisted of guiding the animal to the correct choice by means of a retractable bridge that led ...
Mice lacking M1 and M3 muscarinic acetylcholine receptors have impaired odor discrimination and learning
(Frontiers Research Foundation, 2017)
Visualization and categorization of ecological acoustic events based on discriminant features
(2021-01-01)
Although sound classification in soundscape studies are generally performed by experts, the large growth of acoustic data presents a major challenge for performing such task. At the same time, the identification of more ...
Auditory sentence comprehension in children with cochlear implants after simple visual discrimination training with specific auditory-visual consequences
(2020-01-01)
The present study evaluated the effects of simple discrimination training with specific consequences on auditory comprehension in children with cochlear implants (CIs). Demonstration of auditory comprehension was based on ...
Automatic visual dictionary generation through Optimum-Path Forest clustering
(2012-12-01)
Image categorization by means of bag of visual words has received increasing attention by the image processing and vision communities in the last years. In these approaches, each image is represented by invariant points ...
Automatic visual dictionary generation through Optimum-Path Forest clustering
(2012-12-01)
Image categorization by means of bag of visual words has received increasing attention by the image processing and vision communities in the last years. In these approaches, each image is represented by invariant points ...
Learning Shared, Discriminative, and Compact Representations for Visual Recognition
(IEEE, 2015)
Dictionary-based and part-based methods are among the most popular approaches to visual recognition. In both methods, a mid-level representation is built on top of low-level image descriptors and high-level classifiers are ...
Unsupervised visual discrimination learning of complex stimuli: Accuracy, bias and generalization
(2018)
Through same-different judgements, we can discriminate an immense variety of stimuli and consequently, they are critical in our everyday interaction with the environment. The quality of the judgements depends on familiarity ...