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ALGORITHMICA
2010
72views more  ALGORITHMICA 2010»
13 years 7 months ago
Largest and Smallest Convex Hulls for Imprecise Points
Assume that a set of imprecise points is given, where each point is specified by a region in which the point may lie. We study the problem of computing the smallest and largest pos...
Maarten Löffler, Marc J. van Kreveld
CVPR
2005
IEEE
14 years 9 months ago
Robust L1 Norm Factorization in the Presence of Outliers and Missing Data by Alternative Convex Programming
Matrix factorization has many applications in computer vision. Singular Value Decomposition (SVD) is the standard algorithm for factorization. When there are outliers and missing ...
Qifa Ke, Takeo Kanade
UAI
2008
13 years 9 months ago
Convex Point Estimation using Undirected Bayesian Transfer Hierarchies
When related learning tasks are naturally arranged in a hierarchy, an appealing approach for coping with scarcity of instances is that of transfer learning using a hierarchical Ba...
Gal Elidan, Benjamin Packer, Geremy Heitz, Daphne ...
SIAMIS
2008
93views more  SIAMIS 2008»
13 years 7 months ago
Convex Source Support and Its Application to Electric Impedance Tomography
The aim in electric impedance tomography is to recover the conductivity inside a physical body from boundary measurements of current and voltage. In many situations of practical im...
Martin Hanke, Nuutti Hyvönen, Stefanie Reussw...
TIT
2010
137views Education» more  TIT 2010»
13 years 2 months ago
Average case analysis of multichannel sparse recovery using convex relaxation
This paper considers recovery of jointly sparse multichannel signals from incomplete measurements. Several approaches have been developed to recover the unknown sparse vectors from...
Yonina C. Eldar, Holger Rauhut