Buscar
Mostrando ítems 21-30 de 1125
Attention based object recognition applied to a humanoid robot
(Universidade de São Paulo - USPUniversidade Federal de São Carlos - UFSCarCentro de Robótica de São Carlos - CROBSociedade Brasileira de Computação - SBCSociedade Brasileira de Automática – SBASão Carlos, 2014-10)
Analysis and recognition of objects in complex scenes is a demanding task for a computer. There is a selection mechanism, named visual attention, that optimizes the visual system, in which only the important parts of the ...
Dietary choline supplementation in adult rats improves performance on a test of recognition memory
In two experiments adult rats (aged at least 6 months at the start of the procedure) received a diet enriched with added choline for a period of 10 weeks; control subjects were maintained on a standard diet during this ...
Correlations of recognition memory performance with expression and methylation of brain-derived neurotrophic factor in rats
(Sociedad de Biología de Chile, 2010)
Dissociation of the circadian rhythm of locomotor activity in a 22 h light-dark cycle impairs passive avoidance but not object recognition memory in rats
(Pergamon-Elsevier Science Ltd, 2008-06)
We analyzed the effect of dissociation of the circadian rhythm of locomotor activity on the performance in two memory tasks in rats. One group of animals was maintained in a normal 24 h light-dark cycle of 12:12 (T24 group, ...
Toward Open Set Recognition
(Ieee Computer SocLos AlamitosEUA, 2013)
Efficient sign language recognition system and dataset creation method based on deep learning and image processing
(2021-01-01)
New deep-learning architectures are created every year, achieving state-of-the-art results in image recognition and leading to the belief that, in a few years, complex tasks such as sign language translation will be ...
Brain action: a brain-inspired human action reognition model based on object recognition
(Universidade do Vale do Rio dos Sinos, 2020-09-27)
A great variety of applications require HAR (Human Action Recognition) information as
input. A topic that is applied in such various areas becomes particularly prevalent recently because of their explosively emerging ...
A multi-class structured dictionary learning method using discriminant atom selection
(Springer, 2020-11)
In the last decade, traditional dictionary learning methods have been successfully applied to various pattern classification tasks. Although these methods produce sparse representations of signals which are robust against ...
An NFC approach for nursing care training
(02/22/2011)
Nowadays there is a need to improve the life quality of people in different social environments. One of the main fields to propose new improvements is healthcare. In this kind of scenario, health workers are doing a very ...
Uma abordagem otimizada para reconhecimento de logomarcas de veículos usando SURF
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2015-12-09)
Perform fast and accurate recognition of objects is still a challenging task in many
applications. In this sense the techniques based on detection and description of image features and in correspondence (matching) has ...