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106
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ECCV
2010
Springer
15 years 3 months ago
2010
Springer
The saddle point framework provides a convenient way to formulate many convex variational problems that occur in computer vision. The framework unifies a broad range of data and re...
124
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PAMI
2007
15 years 1 months ago
2007
Abstract— Many vision problems can be formulated as minimization of appropriate energy functionals. These energy functionals are usually minimized, based on the calculus of varia...
ISVC
2009
Springer
15 years 8 months ago
2009
Springer
Abstract. Linear systems and eigen-calculations on symmetric diagonally dominant matrices (SDDs) occur ubiquitously in computer vision, computer graphics, and machine learning. In ...
CVIU
2008
15 years 2 months ago
2008
It is frequently remarked that designers of computer vision algorithms and systems cannot reliably predict how algorithms will respond to new problems. A variety of reasons have b...
166
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VLUDS
2010
14 years 8 months ago
2010
This paper summarizes and compares techniques for detecting and identifying markers in the context of computer vision. Existing approaches use correlation, digital, or topological...