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» Enhancing Relevance Models with Adaptive Passage Retrieval
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CIKM
2009
Springer
14 years 5 months ago
Adaptive relevance feedback in information retrieval
Relevance Feedback has proven very effective for improving retrieval accuracy. A difficult yet important problem in all relevance feedback methods is how to optimally balance the...
Yuanhua Lv, ChengXiang Zhai
JMM
2007
109views more  JMM 2007»
13 years 10 months ago
Multi-Feature Integration with Relevance Feedback on 3D Model Similarity Retrieval
In this paper, we combine the use of Reduced Feature Vector Integration (RFI) and Distance Integration (DI) with Relevance Feedback (RF) on 3D model similarity retrieval. The RFI ...
Saiful Akbar, Josef Küng, Roland Wagner
MM
2004
ACM
248views Multimedia» more  MM 2004»
14 years 4 months ago
Incremental semi-supervised subspace learning for image retrieval
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Xiaofei He
SIGIR
2008
ACM
13 years 10 months ago
Parsimonious relevance models
We describe a method for applying parsimonious language models to re-estimate the term probabilities assigned by relevance models. We apply our method to six topic sets from test ...
Edgar Meij, Wouter Weerkamp, Krisztian Balog, Maar...
TREC
2004
14 years 16 hour ago
The Hong Kong Polytechnic University at the TREC 2004 Robust Track
In the robust track, we mainly tested our passage-based retrieval model with different passage sizes and weighting schemes. In our approach, we used two retrieval models, namely t...
D. Y. Wang, Robert Wing Pong Luk, Kam-Fai Wong