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CORR
2010
Springer
193views Education» more  CORR 2010»
13 years 8 months ago
A Probabilistic Approach for Learning Folksonomies from Structured Data
Learning structured representations has emerged as an important problem in many domains, including document and Web data mining, bioinformatics, and image analysis. One approach t...
Anon Plangprasopchok, Kristina Lerman, Lise Getoor
SIGOPS
2010
162views more  SIGOPS 2010»
13 years 8 months ago
Visual and algorithmic tooling for system trace analysis: a case study
Despite advances in the application of automated statistical and machine learning techniques to system log and trace data there will always be a need for human analysis of machine...
Wim De Pauw, Steve Heisig
TON
2010
136views more  TON 2010»
13 years 4 months ago
Distributed Opportunistic Scheduling With Two-Level Probing
Distributed opportunistic scheduling (DOS) is studied for wireless ad-hoc networks in which many links contend for the channel using random access before data transmissions. Simpl...
P. S. Chandrashekhar Thejaswi, Junshan Zhang, Man-...
CHI
2011
ACM
13 years 1 months ago
PhotoCity: training experts at large-scale image acquisition through a competitive game
Large-scale, ground-level urban imagery has recently developed as an important element of online mapping tools such as Google’s Street View. Such imagery is extremely valuable i...
Kathleen Tuite, Noah Snavely, Dun-yu Hsiao, Nadine...
FOCM
2011
188views more  FOCM 2011»
13 years 1 months ago
Compressive Wave Computation
This paper considers large-scale simulations of wave propagation phenomena. We argue that it is possible to accurately compute a wavefield by decomposing it onto a largely incomp...
Laurent Demanet, Gabriel Peyré