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NIPS
2008
15 years 5 months ago
Supervised Exponential Family Principal Component Analysis via Convex Optimization
Recently, supervised dimensionality reduction has been gaining attention, owing to the realization that data labels are often available and indicate important underlying structure...
Yuhong Guo
CORR
2011
Springer
127views Education» more  CORR 2011»
14 years 8 months ago
Generalized Boosting Algorithms for Convex Optimization
Boosting is a popular way to derive powerful learners from simpler hypothesis classes. Following previous work (Mason et al., 1999; Friedman, 2000) on general boosting frameworks,...
Alexander Grubb, J. Andrew Bagnell
CVPR
2008
IEEE
16 years 6 months ago
Shape priors in variational image segmentation: Convexity, Lipschitz continuity and globally optimal solutions
In this work, we introduce a novel implicit representation of shape which is based on assigning to each pixel a probability that this pixel is inside the shape. This probabilistic...
Daniel Cremers, Frank R. Schmidt, Frank Barthel
ACCV
2007
Springer
15 years 10 months ago
Color Constancy Via Convex Kernel Optimization
This paper introduces a novel convex kernel based method for color constancy computation with explicit illuminant parameter estimation. A simple linear render model is adopted and ...
Xiaotong Yuan, Stan Z. Li, Ran He
SIAMJO
2000
88views more  SIAMJO 2000»
15 years 3 months ago
A Feasible BFGS Interior Point Algorithm for Solving Convex Minimization Problems
Abstract. We propose a BFGS primal-dual interior point method for minimizing a convex function on a convex set defined by equality and inequality constraints. The algorithm generat...
Paul Armand, Jean Charles Gilbert, Sophie Jan-J&ea...