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» Ranking robustness: a novel framework to predict query perfo...
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NIPS
2007
13 years 9 months ago
Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks
We propose a model that leverages the millions of clicks received by web search engines to predict document relevance. This allows the comparison of ranking functions when clicks ...
Ben Carterette, Rosie Jones
CIKM
2007
Springer
14 years 2 months ago
Query expansion using probabilistic local feedback with application to multimedia retrieval
As one of the most effective query expansion approaches, local feedback is able to automatically discover new query terms and improve retrieval accuracy for different retrieval ...
Rong Yan, Alexander G. Hauptmann
USS
2010
13 years 5 months ago
P4P: Practical Large-Scale Privacy-Preserving Distributed Computation Robust against Malicious Users
In this paper we introduce a framework for privacypreserving distributed computation that is practical for many real-world applications. The framework is called Peers for Privacy ...
Yitao Duan, NetEase Youdao, John Canny, Justin Z. ...
CVPR
2010
IEEE
14 years 4 months ago
Human Identity Recognition in Aerial Images
Human identity recognition is an important yet underaddressed problem. Previous methods were strictly limited to high quality photographs, where the principal techniques heavily...
Omar Oreifej, Ramin Mehran, and Mubarak Shah
ICDAR
2011
IEEE
12 years 7 months ago
Character n-Gram Spotting in Document Images
—In this paper, we present a novel approach to search and retrieve from document image collections, without explicit recognition. Existing recognition-free approaches such as wor...
M. Sudha Praveen, K. Pramod Sankar, C. V. Jawahar