In this article, we perform an exhaustive analysis of the use of Artificial Neural Networks and
Deep Learning in the Visual Arts. We begin by introducing changes in Artificial Intelligence …

Integrative processing is traditionally believed to be dependent on consciousness. While
earlier studies within the last decade reported many types of integration under subliminal …

Due to the tradeoff between spatial and temporal resolutions commonly encountered in
remote sensing, no single satellite sensor can provide fine spatial resolution land surface …

In recent years, we have witnessed a massive growth in the generation of images on the
cyberspace which demands to develop automated solutions for effective content …

Revised: 14/May/2017, Accepted: 07/June/2017, Published: 30/Jun/2017 Abstract—Content
Based Image Retrieval (CBIR) is an important and challenging research area of digital …

Now a days, a great attention has received for content-based image retrieval by the
researchers. It is very popular and interesting topic of computer vision. The basic …

Many discovery methods for geographic information services have been proposed. There
are approaches for finding and matching geographic information services, methods for …

This paper exhibits an Object recognition technique using the Convolutional Neural Network
in Deep Learning. Backpropagation is a redundantly used method to calculate the gradient …

Image processing is mostly used for exploring image behaviour. There are several steps in
image processing. Image acquisition, pre-processing, feature extraction, and classification …

Content-Based Image Retrieval is a process to retrieve the similar images from the large set
of image database corresponding to the query image. In CBIR low level or pixel level …