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» Word Particles Applied to Information Retrieval
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PSIVT
2007
Springer
170views Multimedia» more  PSIVT 2007»
14 years 1 months 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...
ICTIR
2009
Springer
14 years 2 months ago
A Four-Factor User Interaction Model for Content-Based Image Retrieval
In order to bridge the “Semantic gap”, a number of relevance feedback (RF) mechanisms have been applied to content-based image retrieval (CBIR). However current RF techniques i...
Haiming Liu 0002, Victoria S. Uren, Dawei Song, St...
AAI
2011
197views Algorithms» more  AAI 2011»
12 years 11 months ago
Document Translation Retrieval Based on Statistical Machine Translation Techniques
We compare different strategies to apply statistical machine translation techniques in order to retrieve documents which are a plausible translation of a given source document. Fi...
Felipe Sánchez-Martínez, Rafael C. C...
ISVC
2005
Springer
14 years 1 months ago
Using Linguistic Models for Image Retrieval
This research addresses the problem of image retrieval by exploring the semantic relationships that exist between image annotations. This is done by using linguistic relationships ...
Brian Zambrano, Rahul Singh, Bibek Dev Bhattarai
AIRS
2010
Springer
13 years 5 months ago
Advanced Training Set Construction for Retrieval in Historic Documents
Retrieval in historic documents with non-standard spelling requires a mapping from search terms onto the historic terms in the document. For describing this mapping, we have develo...
Andrea Ernst-Gerlach, Norbert Fuhr