A Feature-Based Structural Measure: An Image Similarity Measure for Face Recognition
Facial recognition is one of the most challenging and interesting problems within the field of computer vision and pattern recognition. During the last few years, it has gained special attention due to its importance in relation to current issues such as
Noor Abdalrazak Shnain +2 more
doaj +1 more source
Combining vocal tract length normalization with hierarchial linear transformations [PDF]
Recent research has demonstrated the effectiveness of vocal tract length normalization (VTLN) as a rapid adaptation technique for statistical parametric speech synthesis.
Dines, J. +3 more
core +3 more sources
Super-resolution of 3D Magnetic Resonance Images by Random Shifting and Convolutional Neural Networks [PDF]
Enhancing resolution is a permanent goal in magnetic resonance (MR) imaging, in order to keep improving diagnostic capability and registration methods.
Domínguez-Merino, Enrique +4 more
core +1 more source
Genetic Evolution and Molecular Selection of the HE Gene of Influenza C Virus [PDF]
Influenza C virus (ICV) was first identified in humans and swine, but recently also in cattle, indicating a wider host range and potential threat to both the livestock industry and public health than was originally anticipated.
He, Wanting +10 more
core +1 more source
Improving Measurement Bias of Structural Similarity Index (SSIM) using Absolute Difference Equation
Structural similarity index (SSIM) is a framework for assessing the perceptual quality from an image using the degrading and structural information of an image.
Muhammad Irfan Jaafar +2 more
doaj
Action tube extraction based 3D-CNN for RGB-D action recognition [PDF]
In this paper we propose a novel action tube extractor for RGB-D action recognition in trimmed videos. The action tube extractor takes as input a video and outputs an action tube.
Morros Rubió, Josep Ramon +2 more
core +1 more source
Temporal similarity metrics for latent network reconstruction: The role of time-lag decay [PDF]
When investigating the spreading of a piece of information or the diffusion of an innovation, we often lack information on the underlying propagation network.
Liao, Hao +4 more
core +1 more source
Gabor face clustering using affinity propagation and structural similarity index
Clustering is an important technique in data mining. It separates data points into different groups or clusters in such a way that objects in the same group are more similar to each other in some sense than with the objects in other groups.
I. Dagher +2 more
semanticscholar +1 more source
Optimizing Generative Adversarial Network (GAN) Models for Non-Pneumatic Tire Design
Pneumatic tires are used in diverse industries. However, their design is difficult, as it relies on the knowledge of experienced designers. In this paper, we generate images of non-pneumatic tire designs with patterns based on shapes and lines for ...
Ju Yong Seong +4 more
doaj +1 more source
Despite the unique capabilities of hyperspectral images for classification tasks, handling the high dimension of these data is challenging. Therefore, dimension reduction algorithms have been proposed to solve this challenge.
A. Ghorbanian +2 more
semanticscholar +1 more source

