518 search results - page 37 / 104 » Object correspondence as a machine learning problem |
124
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CVPR
2010
IEEE
15 years 10 months ago
2010
IEEE
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
117
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HRI
2006
ACM
15 years 8 months ago
2006
ACM
The essence of the signal-to-symbol problem consists of associating a symbolic description of an object (e.g., a chair) to a signal (e.g., an image) that captures the real object....
ICPR
2008
IEEE
16 years 3 months ago
2008
IEEE
This paper investigates several issues in the problem of detecting handwritten markings, or annotations, on printed documents. One issue is to define the appropriate units over wh...
110
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ICPR
2008
IEEE
15 years 8 months ago
2008
IEEE
On-line boosting is a recent advancement in the field of machine learning that has opened a new spectrum of possibilities in many diverse fields. With respect to a static strong...
115
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ICML
2004
IEEE
16 years 2 months ago
2004
IEEE
In kernel methods, an interesting recent development seeks to learn a good kernel from empirical data automatically. In this paper, by regarding the transductive learning of the k...