We present a fully automatic method for content selection evaluation in summarization that does not require the creation of human model summaries. Our work capitalizes on the assu...
We study correlation of rankings of text summarization systems using evaluation methods with and without human models. We apply our comparison framework to various well-establishe...
Horacio Saggion, Juan Manuel Torres Moreno, Iria d...
We present a robust radiometric calibration method that capitalizes on the transform invariant low-rank structure of sensor irradiances recorded from a static scene with different...
In this paper we propose a novel approach to content-based image retrieval with relevance feedback, which is based on the random walker algorithm introduced in the context of inte...
This paper develops and analyzes distributed search techniques for use in a peer-to-peer (P2P) network-based Information Retrieval (IR) system. In the absence of a centralized med...
Haizheng Zhang, W. Bruce Croft, Brian Neil Levine,...