Soft biometrics: A survey: Benchmark analysis, open challenges and recommendations
B Hassan, E Izquierdo, T Piatrik - Multimedia Tools and Applications, 2021 - Springer
The field of biometrics research encompasses the need to associate an identity to an
individual based on the persons physiological or behaviour traits. While the use of intrusive …
individual based on the persons physiological or behaviour traits. While the use of intrusive …
A novel gas turbine fault diagnosis method based on transfer learning with CNN
A transfer learning method based on CNN and SVM is investigated for gas turbine fault
diagnosis. The excellent classification ability of CNNs is attributed to their ability to learn rich …
diagnosis. The excellent classification ability of CNNs is attributed to their ability to learn rich …
Breast cancer diagnosis in DCE-MRI using mixture ensemble of convolutional neural networks
This work addresses a novel computer-aided diagnosis (CAD) system in breast dynamic
contrast-enhanced magnetic resonance imaging (DCE-MRI). The CAD system is designed …
contrast-enhanced magnetic resonance imaging (DCE-MRI). The CAD system is designed …
Effective training of convolutional neural networks for face-based gender and age prediction
Abstract Convolutional Neural Networks (CNNs) have been proven very effective for human
demographics estimation by a number of recent studies. However, the proposed solutions …
demographics estimation by a number of recent studies. However, the proposed solutions …
Class-imbalanced deep learning via a class-balanced ensemble
Class imbalance is a prevalent phenomenon in various real-world applications and it
presents significant challenges to model learning, including deep learning. In this work, we …
presents significant challenges to model learning, including deep learning. In this work, we …
How transferable are CNN-based features for age and gender classification?
Age and gender are complementary soft biometric traits for face recognition. Successful
estimation of age and gender from facial images taken under real-world conditions can …
estimation of age and gender from facial images taken under real-world conditions can …
Traffic sign detection and recognition using a CNN ensemble
A Vennelakanti, S Shreya, R Rajendran… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
In today's world, almost everything we do has been simplified by automated tasks. In an
attempt to focus on the road while driving, drivers often miss out on signs on the side of the …
attempt to focus on the road while driving, drivers often miss out on signs on the side of the …
Appearance based pedestrians' gender recognition by employing stacked auto encoders in deep learning
Pedestrians' gender is a soft attribute which is useful in many areas of computer vision
including human robot interaction, intelligent surveillance and human behavior analysis …
including human robot interaction, intelligent surveillance and human behavior analysis …
Apparent age estimation from face images combining general and children-specialized deep learning models
This work describes our solution in the second edition of the ChaLearn LAP competition on
Apparent Age Estimation. We train VGG-16 convolutional neural network on the huge IMDB …
Apparent Age Estimation. We train VGG-16 convolutional neural network on the huge IMDB …
A survey of fracture detection techniques in bone X-ray images
Radiologists interprets X-ray samples by visually inspecting them to diagnose the presence
of fractures in various bones. Interpretation of radiographs is a time-consuming and intense …
of fractures in various bones. Interpretation of radiographs is a time-consuming and intense …