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ICASSP
2010
IEEE
15 years 4 months ago
Reconstruction of sparse signals from distorted randomized measurements
In this paper we show that, surprisingly, it is possible to recover sparse signals from nonlinearly distorted measurements, even if the nonlinearity is unknown. Assuming just that...
Petros Boufounos
SIGMETRICS
2008
ACM
181views Hardware» more  SIGMETRICS 2008»
15 years 3 months ago
Counter braids: a novel counter architecture for per-flow measurement
Fine-grained network measurement requires routers and switches to update large arrays of counters at very high link speed (e.g. 40 Gbps). A naive algorithm needs an infeasible amo...
Yi Lu, Andrea Montanari, Balaji Prabhakar, Sarang ...

Presentation
1575views
17 years 2 months ago
Beyond Generating Transit Performance Measures: Visualizations and Statistical Analysis using Historical Data
In recent years, the use of performance measures for transit planning and operations has gained a great deal of attention, particularly as transit agencies are required to provide ...
M. Berkow, A. El-Geneidy, R.L. Bertini, D. Crout
KCAP
2009
ACM
15 years 8 months ago
An entropy inspired measure for evaluating ontology modularization
Ontology modularization has received growing interest from the research community lately, since it supports tasks such as ontology design/reuse and knowledge selection and integra...
Paul Doran, Valentina A. M. Tamma, Terry R. Payne,...
BMCBI
2007
147views more  BMCBI 2007»
15 years 3 months ago
Bias in random forest variable importance measures: Illustrations, sources and a solution
Variable importance measures for random forests have been receiving increased attention as a means of variable selection in many classification tasks in bioinformatics and relate...
Carolin Strobl, Anne-Laure Boulesteix, Achim Zeile...