20 search results - page 1 / 4 » Color Constancy Via Convex Kernel Optimization |
ACCV
2007
Springer
13 years 11 months ago
2007
Springer
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 ...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
The performance of a kernel-based learning algorithm depends very much on the choice of the kernel. Recently, much attention has been paid to the problem of learning the kernel it...
JMLR
2008
13 years 5 months ago
2008
Regularized kernel discriminant analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. Its performance depends on the selection of kernel...
CDC
2009
IEEE
13 years 9 months ago
2009
IEEE
—We develop an algorithm aimed at estimating travel time on segments of a road network using a convex optimization framework. Sampled travel time from probe vehicles are assumed ...
JMLR
2012
11 years 7 months ago
2012
Sparse additive models are families of d-variate functions with the additive decomposition f∗ = ∑j∈S f∗ j , where S is an unknown subset of cardinality s d. In this paper,...