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» Discrete optimization in computer vision
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ECCV
2008
Springer
14 years 11 months ago
Semidefinite Programming Heuristics for Surface Reconstruction Ambiguities
We consider the problem of reconstructing a smooth surface under constraints that have discrete ambiguities. These problems arise in areas such as shape from texture, shape from sh...
Ady Ecker, Allan D. Jepson, Kiriakos N. Kutulakos
MIA
2010
170views more  MIA 2010»
13 years 4 months ago
Linear intensity-based image registration by Markov random fields and discrete optimization
We propose a framework for intensity-based registration of images by linear transformations, based on a discrete Markov Random Field (MRF) formulation. Here, the challenge arises ...
Darko Zikic, Ben Glocker, Oliver Kutter, Martin Gr...
QRE
2008
140views more  QRE 2008»
13 years 9 months ago
Discrete mixtures of kernels for Kriging-based optimization
: Kriging-based exploration strategies often rely on a single Ordinary Kriging model which parametric covariance kernel is selected a priori or on the basis of an initial data set....
David Ginsbourger, Céline Helbert, Laurent ...
RTAS
1999
IEEE
14 years 2 months ago
On Quality of Service Optimization with Discrete QoS Options
We present a QoS management framework that enables us to quantitatively measure QoS, and to analytically plan and allocate resources. In this model, end users' quality prefer...
Chen Lee, John P. Lehoczky, Ragunathan Rajkumar, D...
CVPR
2009
IEEE
15 years 5 months ago
Minimizing Sparse Higher Order Energy Functions of Discrete Variables
Higher order energy functions have the ability to encode high level structural dependencies between pixels, which have been shown to be extremely powerful for image labeling pro...
Carsten Rother (Microsoft Research Cambridge), Pus...