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ICASSP
2008
IEEE
14 years 3 months ago
Graph laplacian for interactive image retrieval
Interactive image search or relevance feedback is the process which helps a user refining his query and finding difficult target categories. This consists in a step-by-step lab...
Hichem Sahbi, Patrick Etyngier, Jean-Yves Audibert...
CIKM
2007
Springer
14 years 3 months ago
Predictive user click models based on click-through history
Web search engines consistently collect information about users interaction with the system: they record the query they issued, the URL of presented and selected documents along w...
Benjamin Piwowarski, Hugo Zaragoza
GIS
2002
ACM
13 years 8 months ago
Metadata modeling in a global computing environment
Emerging computational paradigms such as global and ubiquitous computing require some rethinking and innovative research ideas in many computer science areas. In this work, we aim...
Dieter Pfoser, Evaggelia Pitoura, Nectaria Tryfona
KDD
2003
ACM
128views Data Mining» more  KDD 2003»
14 years 9 months ago
Similarity analysis on government regulations
Government regulations are semi-structured text documents that are often voluminous, heavily cross-referenced between provisions and even ambiguous. Multiple sources of regulation...
Gloria T. Lau, Kincho H. Law, Gio Wiederhold
MMS
2008
13 years 9 months ago
Semantic interactive image retrieval combining visual and conceptual content description
We address the challenge of semantic gap reduction for image retrieval through an improved SVM-based active relevance feedback framework, together with a hybrid visual and concept...
Marin Ferecatu, Nozha Boujemaa, Michel Crucianu