Radiomics describes a broad set of computational methods that extract quantitative features
from radiographic images. The resulting features can be used to inform imaging diagnosis …

Artificial intelligence substantially changes the global world, influencing technologies,
machines, and objects in various encouraging aspects nowadays; emotion recognition is …

As a fundamental and critical task in various visual applications, image matching can identify
then correspond the same or similar structure/content from two or more images. Over the …

Abstract Deep Convolutional Neural Network (CNN) is a special type of Neural Networks,
which has shown exemplary performance on several competitions related to Computer …

Texture analysis is used in a very broad range of fields and applications, from texture
classification (eg, for remote sensing) to segmentation (eg, in biomedical imaging), passing …

Abstract Local Binary Patterns (LBP) have emerged as one of the most prominent and
widely studied local texture descriptors. Truly a large number of LBP variants has been …

Salient object detection has been attracting a lot of interest, and recently various heuristic
computational models have been designed. In this paper, we regard saliency map …

Physically distributed hydrological models are effective in hydrological simulations of large
river basins, but the complex characteristics of hydrological features limit their application …

This paper proposes a facial expression recognition system using evolutionary particle
swarm optimization (PSO)-based feature optimization. The system first employs modified …

In this correspondence, a completed modeling of the local binary pattern (LBP) operator is
proposed and an associated completed LBP (CLBP) scheme is developed for texture …