Smart augmentation learning an optimal data augmentation strategy
A recurring problem faced when training neural networks is that there is typically not enough
data to maximize the generalization capability of deep neural networks. There are many …
data to maximize the generalization capability of deep neural networks. There are many …
Deep learning for consumer devices and services: pushing the limits for machine learning, artificial intelligence, and computer vision
J Lemley, S Bazrafkan… - IEEE Consumer Electronics …, 2017 - ieeexplore.ieee.org
In the last few years, we have witnessed an exponential growth in research activity into the
advanced training of convolutional neural networks (CNNs), a field that has become known …
advanced training of convolutional neural networks (CNNs), a field that has become known …
Smarper: Context-aware and automatic runtime-permissions for mobile devices
K Olejnik, I Dacosta, JS Machado… - … IEEE Symposium on …, 2017 - ieeexplore.ieee.org
Permission systems are the main defense that mobile platforms, such as Android and iOS,
offer to users to protect their private data from prying apps. However, due to the tension …
offer to users to protect their private data from prying apps. However, due to the tension …
Deep learning-based gender classification by training with fake data
M Oulad-Kaddour, H Haddadou, CC Vilda… - IEEE …, 2023 - ieeexplore.ieee.org
Gender classification of human faces is a trending topic and a remarkable biometric task.
This research area has useful applications in several fields, such as automated border …
This research area has useful applications in several fields, such as automated border …
Face gender recognition in the wild: an extensive performance comparison of deep-learned, hand-crafted, and fused features with deep and traditional models
A Althnian, N Aloboud, N Alkharashi, F Alduwaish… - Applied Sciences, 2020 - mdpi.com
Face gender recognition has many useful applications in human–robot interactions as it can
improve the overall user experience. Support vector machines (SVM) and convolutional …
improve the overall user experience. Support vector machines (SVM) and convolutional …
Bi-LSTM-Augmented deep neural network for multi-Gbps VCSEL-based visible light communication link
With the remarkable advances in vertical-cavity surface-emitting lasers (VCSELs) in recent
decades, VCSELs have been considered promising light sources in the field of optical …
decades, VCSELs have been considered promising light sources in the field of optical …
Automated hand X-ray based gender classification and bone age assessment using convolutional neural network
Bone Age Assessment (BAA) is a medical approach to predict the growth in any individual
and for this gender the classification has immense importance in medical research and …
and for this gender the classification has immense importance in medical research and …
Computational cartographic recognition: Identifying maps, geographic regions, and projections from images using machine learning
Map reading is a challenging task for computer programs. This article explores how artificial
intelligence and machine learning methods can be used to understand maps, an area we …
intelligence and machine learning methods can be used to understand maps, an area we …
Gender classification based on isolated facial features and foggy faces using jointly trained deep convolutional neural network
Gender classification, a two-class problem (male or female), has been the subject of
extensive research recently and gained a lot of attention due to its varied set of applications …
extensive research recently and gained a lot of attention due to its varied set of applications …
Wavelet-based convolutional neural networks for gender classification
We develop a gender classification method using convolutional neural networks. We train
Alexnet Architecture using the luminance (Y) component of the facial image (YCbCr) for the …
Alexnet Architecture using the luminance (Y) component of the facial image (YCbCr) for the …