In this work, we propose a new method for extracting user preferences from a few documents that might interest users. For this end, we first extract candidate terms and choose a n...
Abstract. Automatic identification of a script in a given document image facilitates many important applications such as automatic archiving of multilingual documents, searching on...
Gopal Datt Joshi, Saurabh Garg, Jayanthi Sivaswamy
This paper explores the use of Bayesian online classifiers to classify text documents. Empirical results indicate that these classifiers are comparable with the best text classifi...
This paper presents an approach for identifying similar documents that can be used to assist scientists in finding related work. The approach called Citation Proximity Analysis (C...
Jacqueline Leta, Birger Larsen, Ronald Rousseau, W...
In this paper we discuss the role of open-source hardware in supporting creativity. We use the case study of an opensource FM radio and explore the modes of creation that emerged ...