The need for appropriate ways to measure the distance or similarity between data is
ubiquitous in machine learning, pattern recognition and data mining, but handcrafting such …

Methods for automatic analysis of user interfaces are essential for a wide range of
applications in computer science and software engineering. These methods are used in …

With the major advances of the Internet throughout the past couple of years, websites have
come to play a central role in the modern marketing business program. However, simply …

This paper is concerned with the problem of learning a distance metric by considering
meaningful and discriminative distance constraints in some contexts where rich information …

\beginabstract In the early days of the web, giving the same web page to different browsers
could provide very different results. As the rendering engine behind each browser would …

In this paper, we propose a ranking approach which considers visual similarities among web
pages by using structure and vision-based features. Throughout the study, we aim to …

A heterogeneous social network is characterized by multiple link types which makes the task
of link prediction in such networks more involved. In the last few years collective link …

A major challenge in similarity/distance learning is attaining a strong measure which is close
to human notions of similarity. This paper shows why the consideration of data distribution …

Measuring web page similarity is one of the core issues in web content detection and
Classification. In this paper, we first give the definition of webpage visual blocks. And then …

Web page visual similarity has been a trend topic in last decade. Furthermore, effective
methods and approaches are crucial for phishing detection and related issues. In this study …