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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
IPM
2007
85views more  IPM 2007»
13 years 7 months ago
A retrospective study of a hybrid document-context based retrieval model
This paper describes our novel retrieval model that is based on contexts of query terms in documents (i.e., document contexts). Our model is novel because it explicitly takes into...
Ho Chung Wu, Robert W. P. Luk, Kam-Fai Wong, K. L....
IRI
2009
IEEE
14 years 2 months ago
Ontology-based Information Model Development for Science Information Reuse and Integration
Scientific digital libraries serve complex and evolving research communities. Justifications for the development of scientific digital libraries include the desire to preserve sci...
J. Steven Hughes, Daniel J. Crichton, Chris Mattma...
KDD
2010
ACM
252views Data Mining» more  KDD 2010»
13 years 11 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
ICASSP
2010
IEEE
13 years 8 months ago
Singing information processing based on singing voice modeling
In this paper, we propose a novel area of research referred to as singing information processing. To shape the concept of this area, we first introduce singing understanding syst...
Masataka Goto, Takeshi Saitou, Tomoyasu Nakano, Hi...