Image classification is a well-studied and hard problem in computer vision. We extend a proven solution for classifying web spam to handle images. We exploit the link structure of...
This paper presents a novel method for the classification of images that combines information extracted from the images and contextual information. The main hypothesis is that con...
We propose in this article an image classification technique based on kernel methods and graphs. Our work explores the possibility of applying marginalized kernels to image process...
In this paper we describe work relating to classification of web documents using a graph-based model instead of the traditional vector-based model for document representation. We ...
Adam Schenker, Mark Last, Horst Bunke, Abraham Kan...
A representation of the World Wide Web as a directed graph, with vertices representing web pages and edges representing hypertext links, underpins the algorithms used by web search...