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» A generative retrieval model for structured documents
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AAAI
1994
13 years 8 months ago
Using Induction to Refine Information Retrieval Strategies
Conceptual information retrieval systems use structured document indices, domain knowledge and a set of heuristic retrieval strategies to match user queries with a set of indices ...
Catherine Baudin, Barney Pell, Smadar Kedar
CIKM
2008
Springer
13 years 9 months ago
Modeling hidden topics on document manifold
Topic modeling has been a key problem for document analysis. One of the canonical approaches for topic modeling is Probabilistic Latent Semantic Indexing, which maximizes the join...
Deng Cai, Qiaozhu Mei, Jiawei Han, Chengxiang Zhai
CIKM
2001
Springer
13 years 12 months ago
Real Time User Context Modeling for Information Retrieval Agents
The success of personal information agents depends on their ability to provide task-relevant information. This paper presents WordSieve, a new algorithm that generates context des...
Travis Bauer, David B. Leake
ICCV
2007
IEEE
14 years 1 months ago
Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval
Given a query image of an object, our objective is to retrieve all instances of that object in a large (1M+) image database. We adopt the bag-of-visual-words architecture which ha...
Ondrej Chum, James Philbin, Josef Sivic, Michael I...
DIAL
2004
IEEE
156views Image Analysis» more  DIAL 2004»
13 years 11 months ago
Xed: A New Tool for eXtracting Hidden Structures from Electronic Documents
PDF became a very common format for exchanging printable documents. Further, it can be easily generated from the major documents formats, which make a huge number of PDF documents...
Karim Hadjar, Maurizio Rigamonti, Denis Lalanne, R...