We profile a system for search and analysis of largescale email archives. The system builds around four facets: Content-based search engine, statistical topic model, automaticall...
Conventional document search techniques are constrained by attempting to match individual keywords or phrases to source documents. Thus, these techniques miss out documents that co...
Full-text information retrieval systems have traditionally been designed for archival environments. They often provide little or no support for adding new documents to an existing...
Co-occurrence analysis has been used to determine related words or terms in many NLP-related applications such as query expansion in Information Retrieval (IR). However, related w...
We present a new framework for characterizing and retrieving objects in cluttered scenes. This CBIR system is based on a new representation describing every object taking into acc...
Jaume Amores, Nicu Sebe, Petia Radeva, Theo Gevers...