964 search results - page 51 / 193 » Incremental and Decremental Support Vector Machine Learning |
IDEAL
2003
Springer
15 years 2 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...
SMC
2010
IEEE
14 years 8 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...
ICML
2005
IEEE
15 years 10 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...
ICML
2007
IEEE
15 years 10 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....
ICCV
2007
IEEE
15 years 4 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...