Image representation is an important topic in computer vision and pattern recognition. It
plays a fundamental role in a range of applications toward understanding visual contents …

Low-resolution face recognition (LRFR) has received increasing attention over the past few
years. Its applications lie widely in the real-world environment when high-resolution or high …

Just like many other topics in computer vision, image classification has achieved significant
progress recently by using deep learning neural networks, especially the Convolutional …

The implementations of deep learning combined with other methods such as transfer
learning and data augmentation in oil palm fresh fruit bunch (FFB) ripeness classification …

Manifold learning (ML) aims to seek low-dimensional embedding from high-dimensional
data. The problem is challenging on real-world datasets, especially with under-sampling …

Deep learning has achieved outstanding performance for face recognition benchmarks, but
performance reduces significantly for low resolution (LR) images. We propose an attention …

Glaucoma is a fatal eye disease that harms the optic disc (OD) and optic cup (OC) and
results into blindness in progressed phases. Because of slow progress, the disease exhibits …

From an individual's perspective, technological advancement has merits and demerits.
Video captured by surveillance cameras while a person goes about their daily life may …

Blur is an image degradation that makes object recognition challenging. Restoration
approaches solve this problem via image deblurring, deep learning methods rely on the …

Abstract In recent years, Deep Neural Networks (DNN) have emerged as a practical method
for image recognition. The raw data, which contain sensitive information, are generally …