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» Introduction to Information Retrieval
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PSIVT
2007
Springer
170views Multimedia» more  PSIVT 2007»
16 years 25 days ago
Markov Random Fields and Spatial Information to Improve Automatic Image Annotation
Content-based image retrieval (CBIR) is currently limited because of the lack of representational power of the low-level image features, which fail to properly represent the actual...
Carlos Hernández-Gracidas, Luis Enrique Suc...
ACL
2006
15 years 8 months ago
Segment-Based Hidden Markov Models for Information Extraction
Hidden Markov models (HMMs) are powerful statistical models that have found successful applications in Information Extraction (IE). In current approaches to applying HMMs to IE, a...
Zhenmei Gu, Nick Cercone
CIKM
2001
Springer
15 years 11 months ago
Advances in Phonetic Word Spotting
Phonetic speech retrieval is used to augment word based retrieval in spoken document retrieval systems, for in and out of vocabulary words. In this paper, we present a new indexin...
Arnon Amir, Alon Efrat, Savitha Srinivasan
CORR
2008
Springer
127views Education» more  CORR 2008»
15 years 6 months ago
Comparing and Combining Methods for Automatic Query Expansion
Abstract. Query expansion is a well known method to improve the performance of information retrieval systems. In this work we have tested different approaches to extract the candid...
José R. Pérez-Agüera, Lourdes A...
167
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ITCC
2002
IEEE
15 years 11 months ago
A Methodology for Collection Selection in Heterogeneous Contexts
In this paper we demonstrate that in an ideal Distributed Information Retrieval environment, taking the ability of each collection server to return relevant documents into account...
Faiza Abbaci, Michel Beigbeder, Jacques Savoy