Transformer based on self-attention mechanism has made remarkable achievements in
natural language processing, which inspired the application research of Transformer in …

This paper proposes a method for biometric-driven facial image recognition, based on
multivariate correlation analysis, which extracts geometrical feature points and low-level …

Early diagnosis is still the most important factor to deal with skin cancer, a disease that
challenges physicians and researchers. It has benefited from computer-aided diagnosis …

This paper proposes a novel method, which is coined as ARBBPNN, for biometric-oriented
face detection, based on autoregressive model with Bayes backpropagation neural network …

In this paper, we proposed a new framework for textured image retrieval, which is based on
Weibull statistical distribution and nonsubsampled contourlet transform. Firstly, the image is …

This paper proposes a new approach for content based image retrieval based on feed-
forward architecture and Tetrolet transforms. The proposed method addresses the problems …

This paper proposes a novel method based on statistical tests of hypotheses, such as F-ratio
and Welch's t-tests. The input query image is examined whether it is a textured or structured …

Sažetak A vast amount of images has been generated due to the diversity and digitalization
of devices for image acquisition. However, the gap between low-level visual features and …

This paper introduces a novel method for satellite image retrieval based on an adaptive
Gaussian Markov random field (AGMRF) model with Bayes-based back-propagation neural …

This article proposes a novel method, based on the multivariate parametric statistical tests of
hypotheses, which classifies the normal skin lesion images and the various stages of the …