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VIP
2003
13 years 10 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
CIKM
2003
Springer
14 years 2 months ago
Content-based retrieval in hybrid peer-to-peer networks
Hybrid peer-to-peer architectures use special nodes to provide directory services for regions of the network (“regional directory services”). Hybrid peer-to-peer architectures...
Jie Lu, James P. Callan
SIGIR
2005
ACM
14 years 2 months ago
A Markov random field model for term dependencies
This paper develops a general, formal framework for modeling term dependencies via Markov random fields. The model allows for arbitrary text features to be incorporated as eviden...
Donald Metzler, W. Bruce Croft
JCDL
2005
ACM
101views Education» more  JCDL 2005»
14 years 2 months ago
Grid-based digital libraries: cheshire3 and distributed retrieval
The University of California, Berkeley and the University of Liverpool are developing a Information Retrieval and Digital Library system (Cheshire3) that operates in both singlepr...
Ray R. Larson, Robert Sanderson
KDD
2010
ACM
252views Data Mining» more  KDD 2010»
14 years 1 months ago
Fast query execution for retrieval models based on path-constrained random walks
Many recommendation and retrieval tasks can be represented as proximity queries on a labeled directed graph, with typed nodes representing documents, terms, and metadata, and labe...
Ni Lao, William W. Cohen