560 search results - page 55 / 112 » Level-set methods for convex optimization |
146
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ECCV
2010
Springer
15 years 5 months ago
2010
Springer
Confronted with the high-dimensional tensor-like visual data, we derive a method for the decomposition of an observed tensor into a low-dimensional structure plus unbounded but spa...
111
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IJCNN
2006
IEEE
15 years 9 months ago
2006
IEEE
— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...
241
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CVPR
2010
IEEE
15 years 5 months ago
2010
IEEE
Multiple surface searching with only image intensity information is a difficult job in the presence of high noise and weak edges. We present in this paper a novel method for global...
133
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TIP
1998
15 years 3 months ago
1998
—In this paper, we present fast and efficient methods for the lossy encoding of object boundaries that are given as eight-connect chain codes. We approximate the boundary by a p...
121
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CORR
2010
Springer
15 years 23 days ago
2010
Springer
Online prediction methods are typically presented as serial algorithms running on a single processor. However, in the age of web-scale prediction problems, it is increasingly comm...