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AUSAI
2008
Springer
13 years 9 months ago
Learning to Find Relevant Biological Articles without Negative Training Examples
Classifiers are traditionally learned using sets of positive and negative training examples. However, often a classifier is required, but for training only an incomplete set of pos...
Keith Noto, Milton H. Saier Jr., Charles Elkan
VLC
2008
178views more  VLC 2008»
13 years 7 months ago
An exploration of diversified user strategies for image retrieval with relevance feedback
Given the difficulty of setting up large-scale experiments with real users, the comparison of content-based image retrieval methods using relevance feedback usually relies on the ...
Michel Crucianu, Jean-Philippe Tarel, Marin Fereca...
RIAO
2000
13 years 9 months ago
The Effect of Pseudo Relevance Feedback on MT-Based CLIR
In this paper, we identify factors that affect machine translation (MT) of a source query for cross-language information retrieval (CLIR) and empirically evaluate the effect of ps...
Yan Qu, Alla N. Eilerman, Hongming Jin, David A. E...
ICASSP
2008
IEEE
14 years 2 months ago
Using corpus and knowledge-based similarity measure in Maximum Marginal Relevance for meeting summarization
MMR (Maximum Marginal Relevance) is widely used in summarization for its simplicity and efficacy, and has been demonstrated to achieve comparable performance to other approaches ...
Shasha Xie, Yang Liu
SMI
2006
IEEE
148views Image Analysis» more  SMI 2006»
14 years 1 months ago
Enhanced 2D/3D Approaches Based on Relevance Index for 3D-Shape Retrieval
We present a new approach for 3D model indexing and retrieval using 2D/3D shape descriptors based on silhouettes or depth-buffer images. To take into account the dispersion of inf...
Mohamed Chaouch, Anne Verroust-Blondet