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» Convex and Semi-Nonnegative Matrix Factorizations
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FOCS
2006
IEEE
13 years 11 months ago
On a Geometric Generalization of the Upper Bound Theorem
We prove an upper bound, tight up to a factor of 2, for the number of vertices of level at most in an arrangement of n halfspaces in Rd , for arbitrary n and d (in particular, the...
Uli Wagner
SODA
2010
ACM
215views Algorithms» more  SODA 2010»
14 years 2 months ago
Approximability of Robust Network Design
We consider robust network design problems where the set of feasible demands may be given by an arbitrary polytope or convex body more generally. This model, introduced by BenAmeu...
Neil Olver, F. Bruce Shepherd
JMLR
2010
173views more  JMLR 2010»
12 years 11 months ago
Collaborative Filtering via Rating Concentration
While most popular collaborative filtering methods use low-rank matrix factorization and parametric density assumptions, this article proposes an approach based on distribution-fr...
Bert Huang, Tony Jebara
CORR
2012
Springer
225views Education» more  CORR 2012»
12 years 20 days ago
Compressive Principal Component Pursuit
We consider the problem of recovering a target matrix that is a superposition of low-rank and sparse components, from a small set of linear measurements. This problem arises in co...
John Wright, Arvind Ganesh, Kerui Min, Yi Ma
CIMAGING
2010
202views Hardware» more  CIMAGING 2010»
13 years 6 months ago
An optimal algorithm for reconstructing images from binary measurements
We have studied a camera with a very large number of binary pixels referred to as the gigavision camera [1] or the gigapixel digital film camera [2, 3]. Potential advantages of th...
Feng Yang, Yue M. Lu, Luciano Sbaiz, Martin Vetter...