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CVPR
2001
IEEE
16 years 1 months ago
Optimal Adaptive Learning for Image Retrieval
Learning-enhanced relevance feedback is one of the most promising and active research directions in recent year's content-based image retrieval. However, the existing approac...
Tao Wang, Yong Rui, Shi-Min Hu
ICPR
2008
IEEE
16 years 19 days ago
Visual features with semantic combination using Bayesian network for a more effective image retrieval
In many vision problems, instead of having fully annotated training data, it is easier to obtain just a subset of data with annotations, because it is less restrictive for the use...
Sabine Barrat, Salvatore Tabbone
SIGIR
2009
ACM
15 years 6 months ago
A bayesian learning approach to promoting diversity in ranking for biomedical information retrieval
In this paper, we propose a Bayesian learning approach to promoting diversity for information retrieval in biomedicine and a re-ranking model to improve retrieval performance in t...
Xiangji Huang, Qinmin Hu
JCDL
2006
ACM
92views Education» more  JCDL 2006»
15 years 5 months ago
Probabilistic, object-oriented logics for annotation-based retrieval in digital libraries
In this paper we introduce POLAR, a probabilistic objectoriented logical framework for annotation-based information retrieval. In POLAR, the knowledge about digital objects, annot...
Ingo Frommholz, Norbert Fuhr
SIGIR
2006
ACM
15 years 5 months ago
Load balancing for term-distributed parallel retrieval
Large-scale web and text retrieval systems deal with amounts of data that greatly exceed the capacity of any single machine. To handle the necessary data volumes and query through...
Alistair Moffat, William Webber, Justin Zobel