294 search results - page 1 / 59 » Spectral feature selection for supervised and unsupervised l... |
89
Voted
ICML
2007
IEEE
15 years 11 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 ...
104
Voted
AAAI
2010
15 years 10 days ago
2010
Spectral feature selection identifies relevant features by measuring their capability of preserving sample similarity. It provides a powerful framework for both supervised and uns...
112
Voted
SDM
2007
SIAM
15 years 9 days ago
2007
SIAM
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
129
Voted
CVPR
2006
IEEE
16 years 27 days ago
2006
IEEE
We present a method to automatically learn object categories from unlabeled images. Each image is represented by an unordered set of local features, and all sets are embedded into...
107
Voted
ICCV
2003
IEEE
16 years 24 days ago
2003
IEEE
The problem of selecting a subset of relevant features in a potentially overwhelming quantity of data is classic and found in many branches of science. Examples in computer vision...