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VIP
2003
13 years 9 months ago
Relevance Feedback for Content-Based Image Retrieval Using Bayesian Network
Relevance feedback is a powerful query modification technique in the field of content-based image retrieval. The key issue in relevance feedback is how to effectively utilize the ...
Jing Xin, Jesse S. Jin
SIGIR
2006
ACM
14 years 1 months ago
Probabilistic latent query analysis for combining multiple retrieval sources
Combining the output from multiple retrieval sources over the same document collection is of great importance to a number of retrieval tasks such as multimedia retrieval, web retr...
Rong Yan, Alexander G. Hauptmann
CIKM
2004
Springer
14 years 1 months ago
The robustness of content-based search in hierarchical peer to peer networks
Hierarchical peer to peer networks with multiple directory services are an important architecture for large-scale file sharing due to their effectiveness and efficiency. Recent ...
M. Elena Renda, Jamie Callan
ACL
2001
13 years 9 months ago
Low-cost, High-Performance Translation Retrieval: Dumber is Better
In this paper, we compare the relative effects of segment order, segmentation and segment contiguity on the retrieval performance of a translation memory system. We take a selecti...
Timothy Baldwin
IJON
2007
96views more  IJON 2007»
13 years 7 months ago
Suppressive effects in visual search: A neurocomputational analysis of preview search
In the real world, visual information is selected over time as well as space, when we prioritise new stimuli for attention. Watson and Humphreys [Visual marking: prioritising sele...
Eirini Mavritsaki, Dietmar Heinke, Glyn W. Humphre...