99 search results - page 9 / 20 » Feature Selection by Transfer Learning with Linear Regulariz... |
FGR
2004
IEEE
13 years 11 months ago
2004
IEEE
A class of sparse regularization functions are considered for the developing sparse classifiers for determining facial gender. The sparse classification method aims to both select...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
We introduce a new algorithm for binary classification in the selective sampling protocol. Our algorithm uses Regularized Least Squares (RLS) as base classifier, and for this reas...
EMNLP
2011
12 years 7 months ago
2011
Linear models have enjoyed great success in structured prediction in NLP. While a lot of progress has been made on efficient training with several loss functions, the problem of ...
TCSV
2008
13 years 7 months ago
2008
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
CORR
2007
Springer
13 years 7 months ago
2007
Springer
We consider the least-square regression problem with regularization by a block 1-norm, that is, a sum of Euclidean norms over spaces of dimensions larger than one. This problem, r...