1092 search results - page 139 / 219 » Convex Methods for Transduction |
MMM
2009
Springer
15 years 4 months ago
2009
Springer
In this paper, we present a novel multiple kernel method to learn the optimal classification function for visual concept. Although many carefully designed kernels have been propose...
ECRTS
2004
IEEE
15 years 1 months ago
2004
IEEE
In [1], Jejurikar and Gupta investigated energy savings due to optimal slowdown of periodic tasks in real-time task systems, where tasks have varying power characteristics and task...
AAAI
2010
14 years 11 months ago
2010
Multiple Kernel Learning (MKL) can be formulated as a convex-concave minmax optimization problem, whose saddle point corresponds to the optimal solution to MKL. Most MKL methods e...
ICCV
2009
IEEE
14 years 7 months ago
2009
IEEE
We present a novel technique, termed attached shadow coding, for estimating surface normals from shadows when the reflectance and lighting conditions are unknown. Our key idea is ...
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Voted
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Consider the decomposition of a signal into features that undergo transformations drawn from a continuous family. Current methods discretely sample the transformations and apply s...