In this paper, we present our participation in the ImageCLEF 2005 ad-hoc track. First, we describe a preliminary pool of cross-language experiments with the ImageCLEF 2004 testbed...
Relevance feedback has been considered as a means of incorporating learning into information retrieval systems for quite sometime now. This paper discusses the research results of...
High findability of documents within a certain cut-off rank is considered an important factor in recall-oriented application domains such as patent or legal document retrieval. ...
This paper reports results for the University of Maryland’s participation in CLEF-2005 Cross-Language Speech Retrieval track. Techniques that were tried include: (1) document ex...
We propose a novel probabilistic method based on the Hidden Markov Model (HMM) to learn the structure of a Latent Variable Model (LVM) for query language modeling. In the proposed...