The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
This paper investigates the problem of learning the visual semantics of keyword categories for automatic image annotation. Supervised learning algorithms which learn only a single ...
Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...
This paper discusses conditions under which some of the “higher level” mental concepts applicable to human beings might also be applicable to artificial agents. The key idea ...
Abstract. In this paper we discuss a book annotation translation application scenario that requires multi-concept alignment – where one set of concepts is aligned to another set....
Shenghui Wang, Antoine Isaac, Lourens van der Meij...