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Real-Time Traffic Sign Detection and Recognition using CNN
(2020-03-01)
Traffic signs presents on streets and highways have a distinct set of features which may be used to differentiate each one from each other. We propose in this paper a real-time traffic sign detection and recognition algorithm ...
Does Removing Pooling Layers from Convolutional Neural Networks Improve Results?
(2020-09-01)
Due to their number of parameters, convolutional neural networks are known to take long training periods and extended inference time. Learning may take so much computational power that it requires a costly machine and, ...
Convolutional neural networks ensembles through single-iteration optimization
(2022-01-01)
Convolutional Neural Networks have been widely employed in a diverse range of computer vision-based applications, including image classification, object recognition, and object segmentation. Nevertheless, one weakness of ...
Rate-energy-accuracy Optimization Of Convolutional Architectures For Face Recognition
(Academic Press in Elsevier ScienceSan Diego, 2016)
Rate-energy-accuracy Optimization Of Convolutional Architectures For Face Recognition
(ACADEMIC PRESS INC ELSEVIER SCIENCESAN DIEGO, 2016)
Neighbour-based bag-of-samplings for person identification through handwritten dynamics and convolutional neural networks
(2022-05-01)
Biometric recognition provides straightforward methods to deal with the problem of identifying people under certain circumstances. Additionally, a well-calibrated biometric system enhances security policies and prevents ...
Handling dropout probability estimation in convolution neural networks using meta-heuristics
(Springer, 2018-09-01)
Deep learning-based approaches have been paramount in recent years, mainly due to their outstanding results in several application domains, ranging from face and object recognition to handwritten digit identification. ...
Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification
(2018-05-01)
Background and objective: Parkinson's disease (PD) is considered a degenerative disorder that affects the motor system, which may cause tremors, micrography, and the freezing of gait. Although PD is related to the lack of ...
Semi-supervised learning with convolutional neural networks for UAV images automatic recognition
(Elsevier B.V., 2019-09-01)
The annotation of large datasets is an issue whose challenge increases as the number of labeled samples available to train the classifier reduces in comparison to the amount of unlabeled data. In this context, semi-supervised ...