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» Models for Incomplete and Probabilistic Information
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JODS
2006
186views Data Mining» more  JODS 2006»
14 years 11 months ago
Emergent Semantics from Folksonomies: A Quantitative Study
Defining and using ontology to annotate web resources with semantic markups is generally perceived as the primary way to implement the vision of the Semantic Web. The ontology prov...
Lei Zhang 0007, Xian Wu, Yong Yu
TMC
2010
152views more  TMC 2010»
14 years 9 months ago
On Multihop Distances in Wireless Sensor Networks with Random Node Locations
—Location and intersensor distance estimations are important functions for the operation of wireless sensor networks, especially when protocols can benefit from the distance info...
Serdar Vural, Eylem Ekici
ISAAC
2010
Springer
253views Algorithms» more  ISAAC 2010»
14 years 9 months ago
Solving Two-Stage Stochastic Steiner Tree Problems by Two-Stage Branch-and-Cut
Abstract. We consider the Steiner tree problem under a 2-stage stochastic model with recourse and finitely many scenarios (SSTP). Thereby, edges are purchased in the first stage wh...
Immanuel M. Bomze, Markus Chimani, Michael Jü...
240
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ICASSP
2011
IEEE
14 years 2 months ago
A novel algorithm for occlusions and perspective effects using a 3D object process
In this paper, we introduce a novel probabilistic approach to handle occlusions and perspective effects. The proposed method is an object based method embedded in a marked point p...
Ahmed Gamal-Eldin, Xavier Descombes, Josiane Zerub...
ACL
2011
14 years 2 months ago
Learning Sub-Word Units for Open Vocabulary Speech Recognition
Large vocabulary speech recognition systems fail to recognize words beyond their vocabulary, many of which are information rich terms, like named entities or foreign words. Hybrid...
Carolina Parada, Mark Dredze, Abhinav Sethy, Ariya...