In this paper, we propose a new application of Bayesian language model based on Pitman-Yor process for information retrieval. This model is a generalization of the Dirichlet distr...
This paper reports on the user-centered design methodology and techniques used for the elicitation of user requirements and how these requirements informed the first phase of the ...
Preben Hansen, Daniela Petrelli, Jussi Karlgren, M...
We present a browser extension to dynamically learn to filter unwanted images (such as advertisements or flashy graphics) based on minimal user feedback. To do so, we apply the we...
This paper describes our experiments in Geographical Information Retrieval with the Wikipedia collection in the context of our participation in the GikiCLEF 2009 Multilingual task...
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...