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» Ranking Query Results using Context-Aware Preferences
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CIKM
2007
Springer
15 years 10 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
ISMIR
2004
Springer
149views Music» more  ISMIR 2004»
15 years 9 months ago
Indexing and Retrieval of Music Documents through Pattern Analysis and Data Fusion Techniques
One of the challenges of music information retrieval is the automatic extraction of effective content descriptors of music documents, which can be used at indexing and at retrieva...
Giovanna Neve, Nicola Orio
CIKM
2011
Springer
14 years 4 months ago
MTopS: scalable processing of continuous top-k multi-query workloads
A continuous top-k query retrieves the k most preferred objects in a data stream according to a given preference function. These queries are important for a broad spectrum of appl...
Avani Shastri, Di Yang, Elke A. Rundensteiner, Mat...
CIVR
2006
Springer
113views Image Analysis» more  CIVR 2006»
15 years 8 months ago
Eliciting Perceptual Ground Truth for Image Segmentation
In this paper, we investigate human visual perception and establish a body of ground truth data elicited from human visual studies. We aim to build on the formative work of Ren, E...
Victoria J. Hodge, Garry Hollier, John P. Eakins, ...
WWW
2011
ACM
14 years 11 months ago
Learning to rank with multiple objective functions
We investigate the problem of learning to rank for document retrieval from the perspective of learning with multiple objective functions. We present solutions to two open problems...
Krysta Marie Svore, Maksims Volkovs, Christopher J...