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ICCV
2009
IEEE
15 years 4 months ago
Kernel map compression using generalized radial basis functions
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
Omar Arif, Patricio A. Vela
ICIP
2009
IEEE
15 years 4 months ago
Informative sensing of natural images
The theory of compressed sensing tells a dramatic story that sparse signals can be reconstructed near-perfectly from a small number of random measurements. However, recent work ha...
Hyun Sung Chang, Yair Weiss, William T. Freeman
APLAS
2010
ACM
15 years 3 months ago
Metric Spaces and Termination Analyses
We present a framework for defining abstract interpreters for liveness properties, in particular program termination. The framework makes use of the theory of metric spaces to defi...
Aziem Chawdhary, Hongseok Yang
CORR
2010
Springer
92views Education» more  CORR 2010»
15 years 3 months ago
Regression on fixed-rank positive semidefinite matrices: a Riemannian approach
The paper addresses the problem of learning a regression model parameterized by a fixed-rank positive semidefinite matrix. The focus is on the nonlinear nature of the search space...
Gilles Meyer, Silvere Bonnabel, Rodolphe Sepulchre
AI
2011
Springer
15 years 1 months ago
Representing preferences using intervals
In this paper we present a general framework for the comparison of intervals when preference relations have to established. The use of intervals in order to take into account impr...
Meltem Öztürk, Marc Pirlot, Alexis Tsouk...