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» Solving Demodulation as an Optimization Problem
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151
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JMIV
2008
106views more  JMIV 2008»
15 years 3 months ago
Estimation of Vector Fields in Unconstrained and Inequality Constrained Variational Problems for Segmentation and Registration
Vector fields arise in many problems of computer vision, particularly in non-rigid registration. In this paper, we develop coupled partial differential equations (PDEs) to estimat...
Gozde B. Unal, Greg G. Slabaugh
143
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CDC
2009
IEEE
126views Control Systems» more  CDC 2009»
15 years 4 months ago
Support vector machine classifiers for sequential decision problems
Classification problems in critical applications such as health care or security often require very high reliability because of the high costs of errors. In order to achieve this r...
Eladio Rodriguez Diaz, David A. Castaon
125
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TSC
2010
159views more  TSC 2010»
14 years 10 months ago
A Mathematical Programming Approach for Server Consolidation Problems in Virtualized Data Centers
Today's data centers offer IT services mostly hosted on dedicated physical servers. Server virtualization provides a technical means for server consolidation. Thus, multiple v...
Benjamin Speitkamp, Martin Bichler
137
Voted
ICCV
2011
IEEE
14 years 3 months ago
Tight Convex Relaxations for Vector-Valued Labeling Problems
The multi-label problem is of fundamental importance to computer vision, yet finding global minima of the associated energies is very hard and usually impossible in practice. Rec...
Evgeny Strekalovskiy, Bastian Goldluecke, Daniel C...
JMLR
2012
13 years 6 months ago
Marginal Regression For Multitask Learning
Variable selection is an important and practical problem that arises in analysis of many high-dimensional datasets. Convex optimization procedures that arise from relaxing the NP-...
Mladen Kolar, Han Liu