In this paper, we propose a Bayesian inference method for the generalized Gamma mixture
model (GΓMM) based on variational expectation-maximization algorithm. Specifically, the …

Tensor algebra is the next evolutionary step of linear algebra to more than two dimensions.
Its plethora of applications include signal processing, big data, deep learning, multivariate …

Recovering an unknown object from the magnitude of its Fourier transform is a phase
retrieval problem. Here, we consider a much difficult case, where those observed intensity …

Built-up area is one of the most important objects of remote sensing images analysis,
therefore extracting built-up area from remote sensing image automatically has attracted …

Image segmentation is an important task in image processing and analysis but due to the
same ground object having different spectra and different ground objects having similar …

The intention expresses the user's preference for document structure division. Intention-
guided document structure division is an important task in the field of text mining. To achieve …

A set of data can be obtained from different hierarchical levels in diverse domains, such as
multi-levels of genome data in omics, domestic/global indicators in finance, ancestors …

With the advent of Semantic Web and the recent advances in the field of knowledge
discovery more effort is placed not only on constructing or automatically discovering …

In this paper, we propose a novel color-texture image segmentation method based on local
histograms. Starting with clustering-based color quantization, we extract a sufficient number …

Image segmentation using active contour models to improve image processing enhances
object detection. Various segmentation methods have been proposed over in the past to …