571 search results - page 75 / 115 » Learning with Constrained and Unlabelled Data |
ICASSP
2011
IEEE
13 years 1 months ago
2011
IEEE
In semi-supervised classification boosting, a similarity measure is demanded in order to measure the distance between samples (both labeled and unlabeled). However, most of the e...
CVPR
2011
IEEE
13 years 6 months ago
2011
IEEE
Objects vary in their visual complexity, yet existing discovery methods perform “batch” clustering, paying equal attention to all instances simultaneously—regardless of the ...
ICDM
2009
IEEE
14 years 4 months ago
2009
IEEE
—Segmentation, the task of splitting a long sequence of discrete symbols into chunks, can provide important information about the nature of the sequence that is understandable to...
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
WAIM
2004
Springer
14 years 3 months ago
2004
Springer
Abstract. Ensemble methods can achieve excellent performance relying on member classifiers’ accuracy and diversity. We conduct an empirical study of the relationship of ensemble...