737 search results - page 8 / 148 » A General Model for Multiple View Unsupervised Learning |
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...
PAMI
2012
11 years 10 months ago
2012
Which one comes first: segmentation or recognition? We propose a unified framework for carrying out the two simultaneously and without supervision. The framework combines a fle...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Motivated by the problem of customer wallet estimation, we propose a new setting for multi-view regression, where we learn a completely unobserved target (in our case, customer wa...
ICML
2009
IEEE
14 years 8 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...
ACCV
2009
Springer
14 years 2 months ago
2009
Springer
The method based on local features has an advantage that the important local motion feature is represented as bag-of-features, but lacks the location information. Additionally, in ...