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» Context-Dependent Term Relations for Information Retrieval
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MM
2004
ACM
151views Multimedia» more  MM 2004»
14 years 3 months ago
Affinity relation discovery in image database clustering and content-based retrieval
In this paper, we propose a unified framework, called Markov Model Mediator (MMM), to facilitate image database clustering and to improve the query performance. The structure of t...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui ...
SIGIR
2004
ACM
14 years 3 months ago
Dependence language model for information retrieval
This paper presents a new dependence language modeling approach to information retrieval. The approach extends the basic language modeling approach based on unigram by relaxing th...
Jianfeng Gao, Jian-Yun Nie, Guangyuan Wu, Guihong ...
CIKM
2010
Springer
13 years 7 months ago
Probabilistic ranking for relational databases based on correlations
This paper proposes a ranking method to exploit statistical correlations among pairs of attribute values in relational databases. For a given query, the correlations of the query ...
Jaehui Park, Sang-goo Lee
RIAO
2007
13 years 11 months ago
Using Markov Chains to Exploit Word Relationships in Information Retrieval
Document expansion and query expansion aim to add related terms into document and query representations in order to make them more complete. However, most previous studies are lim...
Guihong Cao, Jian-Yun Nie, Jing Bai
WIDM
2005
ACM
14 years 3 months ago
Exploiting native XML indexing techniques for XML retrieval in relational database systems
In XML retrieval, two distinct approaches have been established and pursued without much cross-fertilization taking place so far. On the one hand, native XML databases tailored to...
Felix Weigel, Klaus U. Schulz, Holger Meuss