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» Set-based model: a new approach for information retrieval
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CIKM
2008
Springer
13 years 9 months ago
A generative retrieval model for structured documents
Structured documents contain elements defined by the author(s) and annotations assigned by other people or processes. Structured documents pose challenges for probabilistic retrie...
Le Zhao, Jamie Callan
HIM
1997
Springer
162views Multimedia» more  HIM 1997»
13 years 11 months ago
Probabilistic Logical Information Retrieval for Content, Hypertext, and Database Querying
Classical retrieval models support content-oriented searching for documents using a set of words as data model. However, in hypertext and database applications we want to consider...
Thomas Rölleke, Markus Blömer
CIVR
2003
Springer
111views Image Analysis» more  CIVR 2003»
14 years 22 days ago
Majority Based Ranking Approach in Web Image Retrieval
In this paper, we address a ranking problem in web image retrieval. Due to the growing availability of web images, comprehensive retrieval of web images has been expected. Conventi...
Gunhan Park, Yunju Baek, Heung-Kyu Lee
ECIR
2009
Springer
14 years 4 months ago
Risk-Aware Information Retrieval
Probabilistic retrieval models usually rank documents based on a scalar quantity. However, such models lack any estimate for the uncertainty associated with a document’s rank. Fu...
Jianhan Zhu, Jun Wang, Michael J. Taylor, Ingemar ...
RIAO
2000
13 years 8 months ago
Classification of Radiographs in the 'Image Retrieval in Medical Applications' - System
In this paper we present a new approach to classifying radiographs, which is the first important task of the IRMA system. Given an image, we compute posterior probabilities for ea...
Jörg Dahmen, Thomas Theiner, Daniel Keysers, ...