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» Using opinion-based features to boost sentence retrieval
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ECIR
2004
Springer
13 years 9 months ago
Identification of Relevant and Novel Sentences Using Reference Corpus
In the novelty task on sentence level, the amount of information used in similarity computation is the major challenging issue. A shallow NLP approach extracts noun and verb featu...
Hsin-Hsi Chen, Ming-Feng Tsai, Ming-Hung Hsu
ICPR
2004
IEEE
14 years 9 months ago
Shape Retrieval using Concavity Trees
y trees are well-known abstract structures. This paper proposes a new shape-based image retrieval method based on concavity trees. The proposed method has two main components. The...
Mohamed Kamel, Ossama El Badawy
ICCV
2007
IEEE
14 years 2 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...
SIGIR
2011
ACM
12 years 10 months ago
A boosting approach to improving pseudo-relevance feedback
Pseudo-relevance feedback has proven effective for improving the average retrieval performance. Unfortunately, many experiments have shown that although pseudo-relevance feedback...
Yuanhua Lv, ChengXiang Zhai, Wan Chen
CIVR
2004
Springer
131views Image Analysis» more  CIVR 2004»
14 years 1 months ago
An Empirical Investigation of the Scalability of a Multiple Viewpoint CBIR System
Our work in content-based image retrieval (CBIR) relies on content-analysis of multiple representations of an image which we term multiple viewpoints or channels. The conceptual id...
James C. French, Xiangyu Jin, Worthy N. Martin