Aesthetics has been the subject of long-standing debates by philosophers and
psychologists alike. In psychology, it is generally agreed that aesthetic experience results …

Abstract Convolutional Neural Networks (CNNs) require large image corpora to be trained
on classification tasks. The variation in image resolutions, sizes of objects and patterns …

This paper aims to generate a better representation of visual arts, which plays a key role in
visual arts analysis works. Museums and galleries have a large number of artworks in the …

Vast amounts of artistic data is scattered on-line from both museums and art applications.
Collecting, processing and studying it with respect to all accompanying attributes is an …

Content-based image retrieval (CBIR), which is aimed to search images from a large size
image database based on visual contents of images in an efficient and accurate way as per …

Alongside existing research into the social, political and economic impacts of the Web, there
is a need to study the Web from a cognitive and epistemic perspective. This is particularly so …

With the understanding that art and technology are continuing to experience an historic and
rapidly intensifying rapprochement—but with the understanding as well that accounts …

Utilizing new technologies is the key to improve user experience in museums. Natural and
unobtrusive methods like those offered by machine learning approaches are more desired …

This paper is motivated from a young boy's capability to recognize an illustrator's style in a
totally different context. In the book" We are All Born Free"[1], composed of selected rights …

While scale invariance is commonly observed in each component of real world multivariate
signals, it is also often the case that the inter-component correlation structure is not fractally …