964 search results - page 51 / 193 » Incremental and Decremental Support Vector Machine Learning |
151
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IDEAL
2003
Springer
15 years 10 months ago
2003
Springer
The error-correcting output coding (ECOC) method reduces the multiclass learning problem into a series of binary classifiers. In this paper, we consider the dense ECOC methods, co...
133
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SMC
2010
IEEE
15 years 3 months ago
2010
IEEE
This paper presents a method for selection of SIFT(Scale-Invariant Feature Transform) feature points using OC-SVM (One Class-Support Vector Machines). We proposed the method for au...
113
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ICML
2005
IEEE
16 years 6 months ago
2005
IEEE
We propose machine learning methods for the estimation of deformation fields that transform two given objects into each other, thereby establishing a dense point to point correspo...
119
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ICML
2007
IEEE
16 years 6 months ago
2007
IEEE
For large-scale classification problems, the training samples can be clustered beforehand as a downsampling pre-process, and then only the obtained clusters are used for training....
137
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ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
Kernel classifiers based on Support Vector Machines (SVM) have recently achieved state-of-the art results on several popular datasets like Caltech or Pascal. This was possible by...