Automated detection of the first document reporting each new event in temporally-sequenced streams of documents is an open challenge. In this paper we propose a new approach which...
Yiming Yang, Jian Zhang, Jaime G. Carbonell, Chun ...
In this paper we introduce POLAR, a probabilistic objectoriented logical framework for annotation-based information retrieval. In POLAR, the knowledge about digital objects, annot...
There are still no established methods for the evaluation of browsing and exploratory search tools. In the (multimedia) information retrieval community evaluations following the C...
Concept learning in content-based image retrieval (CBIR) systems is a challenging task. This paper presents an active concept learning approach based on mixture model to deal with...
Abstract. The ACORN provides an agent-based architecture for information retrieval and provision across networks. The main objective of this paper is to present the design and impl...
Hui Yu, Ali A. Ghorbani, Virendra C. Bhavsar, Step...