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SIGIR
2011
ACM
14 years 22 days ago
Learning to rank from a noisy crowd
We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
Abhimanu Kumar, Matthew Lease
AIRS
2008
Springer
15 years 4 months ago
A Semantic Content-Based Retrieval Method for Histopathology Images
This paper proposes a model for content-based retrieval of histopathology images. The most remarkable characteristic of the proposed model is that it is able to extract high-level ...
Juan C. Caicedo, Fabio A. González, Eduardo...
CIVR
2003
Springer
200views Image Analysis» more  CIVR 2003»
15 years 3 months ago
Multimedia Search with Pseudo-relevance Feedback
We present an algorithm for video retrieval that fuses the decisions of multiple retrieval agents in both text and image modalities. While the normalization and combination of evi...
Rong Yan, Alexander G. Hauptmann, Rong Jin
CICLING
2010
Springer
15 years 1 months ago
Selecting the N-Top Retrieval Result Lists for an Effective Data Fusion
Although the application of data fusion in information retrieval has yielded good results in the majority of the cases, it has been noticed that its achievement is dependent on the...
Antonio Juárez-González, Manuel Mont...
IPM
2008
142views more  IPM 2008»
14 years 10 months ago
Tagging and searching: Search retrieval effectiveness of folksonomies on the World Wide Web
Many Web sites have begun allowing users to submit items to a collection and tag them with keywords. The folksonomies built from these tags are an interesting topic that has seen ...
P. Jason Morrison