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» A product retrieval system robust to subjective queries
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80
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MM
2010
ACM
146views Multimedia» more  MM 2010»
15 years 1 months ago
Understanding the security and robustness of SIFT
Many content-based retrieval systems (CBIRS) describe images using the SIFT local features because of their very robust recognition capabilities. While SIFT features proved to cop...
Thanh-Toan Do, Ewa Kijak, Teddy Furon, Laurent Ams...
RIAO
2000
15 years 2 months ago
Allowing users to weight search terms
Informationretrieval systems typically weight the importance of search terms according to document and collection statistics (such as by using tf idf scores, where less commonterm...
Ronald Fagin, Yoëlle S. Maarek
CIVR
2007
Springer
112views Image Analysis» more  CIVR 2007»
15 years 7 months ago
Canonical image selection from the web
The vast majority of the features used in today’s commercially deployed image search systems employ techniques that are largely indistinguishable from text-document search – t...
Yushi Jing, Shumeet Baluja, Henry A. Rowley
125
Voted
CIKM
2007
Springer
15 years 7 months ago
Opinion retrieval from blogs
Opinion retrieval is a document retrieval process, which requires documents to be retrieved and ranked according to their opinions about a query topic. A relevant document must sa...
Wei Zhang, Clement T. Yu, Weiyi Meng
WWW
2009
ACM
16 years 2 months ago
Exploiting web search engines to search structured databases
Web search engines often federate many user queries to relevant structured databases. For example, a product related query might be federated to a product database containing thei...
Arnd Christian König, Dong Xin, Kaushik Chakr...