JMLR
2012
11 years 6 months ago
2012
In this paper we address the problem of pool based active learning, and provide an algorithm, called UPAL, that works by minimizing the unbiased estimator of the risk of a hypothe...
CISS
2011
IEEE
12 years 8 months ago
2011
IEEE
—In compressive sensing (CS), the Restricted Isometry Property (RIP) is a powerful condition on measurement operators which ensures robust recovery of sparse vectors is possible ...
JAT
2010
13 years 2 months ago
2010
We generally study the density of eigenvalues in unitary ensembles of random matrices from the recurrence coefficients with regularly varying conditions for the orthogonal polynomi...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
Compressive sensing predicts that sufficiently sparse vectors can be recovered from highly incomplete information. Efficient recovery methods such as 1-minimization find the sparse...
ICASSP
2010
IEEE
13 years 4 months ago
2010
IEEE
Random projection has been suggested as a means of dimensionality reduction, where the original data are projected onto a subspace using a random matrix. It represents a computati...
STOC
2010
ACM
14 years 1 months ago
2010
ACM