3716 search results - page 11 / 744 » On the monotonization of the training set |
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
We discuss how the runtime of SVM optimization should decrease as the size of the training data increases. We present theoretical and empirical results demonstrating how a simple ...
108
Voted
CICLING
2006
Springer
15 years 4 months ago
2006
Springer
We show that excluding outliers from the training data significantly improves kNN classifier, which in this case performs about 10% better than the best know method--Centroid-based...
IBPRIA
2005
Springer
15 years 6 months ago
2005
Springer
A natural way to deal with training samples in imbalanced class problems is to prune them removing redundant patterns, easy to classify and probably over represented, and label noi...
115
Voted
CVPR
2008
IEEE
15 years 7 months ago
2008
IEEE
While low-dimensional image representations have been very popular in computer vision, they suffer from two limitations: (i) they require collecting a large and varied training se...
82
Voted
ICCV
2005
IEEE
15 years 6 months ago
2005
IEEE
We advocate the use of Scaled Gaussian Process Latent Variable Models (SGPLVM) to learn prior models of 3D human pose for 3D people tracking. The SGPLVM simultaneously optimizes a...