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» Preference elicitation with subjective features
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GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
14 years 5 days ago
Evolutionary learning of local descriptor operators for object recognition
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
Cynthia B. Pérez, Gustavo Olague
GIS
2008
ACM
14 years 8 months ago
Editing and versioning dynamic network models
Network data models are widely used to describe the connectivity between spatial features in GIS architectures. Recent applications demand that such models are editable in multius...
Petko Bakalov, Erik G. Hoel, Wee-Liang Heng, Vassi...
WWW
2007
ACM
14 years 8 months ago
Predicting clicks: estimating the click-through rate for new ads
Search engine advertising has become a significant element of the Web browsing experience. Choosing the right ads for the query and the order in which they are displayed greatly a...
Matthew Richardson, Ewa Dominowska, Robert Ragno
CIKM
2009
Springer
14 years 2 months ago
Characterizing and predicting search engine switching behavior
Search engine switching describes the voluntarily transition from one Web search engine to another. In this paper we present a study of search engine switching behavior that combi...
Ryen W. White, Susan T. Dumais
CBMS
2005
IEEE
14 years 1 months ago
Relevance Feedback for Spine X-ray Retrieval
Relevance feedback (RF) has been an active research area in Content-based Image Retrieval (CBIR). RF intends to bridge the gap between the low-level image features and the high-le...
Xiaoqian Xu, D. J. Lee, Sameer Antani, L. Rodney L...