518 search results - page 19 / 104 » Object correspondence as a machine learning problem |
132
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AAAI
1993
15 years 3 months ago
1993
We address the problem of automatically learning object models for recognition and pose estimation. In contrast to the traditional approach, we formulate the recognition problem a...
148
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COLING
1992
15 years 3 months ago
1992
This paper proposes a two-phase example-based machine translation methodology which develops translation templates from examples and then translates using template matching. This ...
110
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ICML
2005
IEEE
16 years 2 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
103
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ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
Semi-Supervised Support Vector Machines (S3 VMs) are an appealing method for using unlabeled data in classification: their objective function favors decision boundaries which do n...
144
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ESANN
2007
15 years 3 months ago
2007
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...