Web contains a vast amount of data, which are accumulated, studied, and utilized by a huge
number of users on a daily basis. A substantial amount of data on the Web is available in an …

Information on land use and land cover (LULC) including forest cover is important for the
development of strategies for land planning and management. Satellite remotely sensed …

This paper presents a new multi-stage genetic programming (MSGP) strategy for modeling
nonlinear systems. The proposed strategy is based on incorporating the individual effect of …

An effective automated pulmonary nodule detection system can assist radiologists in
detecting lung abnormalities at an early stage. In this paper, we propose a novel pulmonary …

There are only a few of labeled training samples in the remote sensing image classification.
Therefore, it is a highly challenging problem that finds a good classification method which …

We describe a new multiclass classification method that learns multidimensional feature
transformations using genetic programming. This method optimizes models by first …

This paper attempts to provide a comprehensive review and characterize the problem of the
semantic gap that is the key problem of content-based image retrieval and the current …

Abstract Content-based Image Retrieval (CBIR) systems consider only a pairwise analysis,
ie, they measure the similarity between pairs of images, ignoring the rich information …

Classifying images is of great importance in machine vision and image analysis applications
such as object recognition and face detection. Conventional methods build classifiers based …

A huge effort has been applied in image classification to create high-quality thematic maps
and to establish precise inventories about land cover use. The peculiarities of remote …