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TSP
2011
151views more  TSP 2011»
14 years 11 months ago
Stochastic Models for Sparse and Piecewise-Smooth Signals
Abstract—We introduce an extended family of continuous-domain stochastic models for sparse, piecewise-smooth signals. These are specified as solutions of stochastic differential...
Michael Unser, Pouya Dehghani Tafti
JMLR
2010
121views more  JMLR 2010»
14 years 11 months ago
Sparse Semi-supervised Learning Using Conjugate Functions
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
Shiliang Sun, John Shawe-Taylor
JMLR
2010
104views more  JMLR 2010»
14 years 11 months ago
Learnability, Stability and Uniform Convergence
The problem of characterizing learnability is the most basic question of statistical learning theory. A fundamental and long-standing answer, at least for the case of supervised c...
Shai Shalev-Shwartz, Ohad Shamir, Nathan Srebro, K...
CHI
2011
ACM
14 years 8 months ago
Homebrew databases: complexities of everyday information management in nonprofit organizations
Many people manage a complex assortment of digital information in their lives. Volunteer coordinators at nonprofit organizations are no exception; they collectively manage informa...
Amy Voida, Ellie Harmon, Ban Al-Ani
JCAM
2011
78views more  JCAM 2011»
14 years 7 months ago
Symmetric box-splines on root lattices
Root lattices are efficient sampling lattices for reconstructing isotropic signals in arbitrary dimensions, due to their highly symmetric structure. One root lattice, the Cartesia...
Minho Kim, Jörg Peters