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SIGECOM
2009
ACM
110views ECommerce» more  SIGECOM 2009»
14 years 2 months ago
On random sampling auctions for digital goods
In the context of auctions for digital goods, an interesting Random Sampling Optimal Price auction (RSOP) has been proposed by Goldberg, Hartline and Wright; this leads to a truth...
Saeed Alaei, Azarakhsh Malekian, Aravind Srinivasa...
PVLDB
2008
110views more  PVLDB 2008»
13 years 7 months ago
Online maintenance of very large random samples on flash storage
Recent advances in flash media have made it an attractive alternative for data storage in a wide spectrum of computing devices, such as embedded sensors, mobile phones, PDA's...
Suman Nath, Phillip B. Gibbons
ICIP
2008
IEEE
14 years 9 months ago
Nonconvex compressive sensing and reconstruction of gradient-sparse images: Random vs. tomographic Fourier sampling
Previous compressive sensing papers have considered the example of recovering an image with sparse gradient from a surprisingly small number of samples of its Fourier transform. T...
Rick Chartrand
COLT
2004
Springer
14 years 1 months ago
On the Convergence of Spectral Clustering on Random Samples: The Normalized Case
Given a set of n randomly drawn sample points, spectral clustering in its simplest form uses the second eigenvector of the graph Laplacian matrix, constructed on the similarity gra...
Ulrike von Luxburg, Olivier Bousquet, Mikhail Belk...
IFIP12
2008
13 years 9 months ago
A Study with Class Imbalance and Random Sampling for a Decision Tree Learning System
Sampling methods are a direct approach to tackle the problem of class imbalance. These methods sample a data set in order to alter the class distributions. Usually these methods ar...
Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Mar...