429 search results - page 24 / 86 » Unsupervised feature selection for principal components anal... |
154
Voted
DAS
2010
Springer
15 years 2 months ago
2010
Springer
A major difficulty for designing a document image segmentation methodology is the proper value selection for all involved parameters. This is usually done after experimentations o...
126
Voted
BMCBI
2006
15 years 3 months ago
2006
Background: We present a novel strategy for classification of DNA molecules using measurements from an alpha-Hemolysin channel detector. The proposed approach provides excellent c...
138
Voted
ICMCS
2005
IEEE
15 years 9 months ago
2005
IEEE
Principal Component Analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition. Oliva and Torralba used “spatial envelop...
126
Voted
ICIP
2008
IEEE
15 years 10 months ago
2008
IEEE
—Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms usi...
116
Voted
IJCNN
2007
IEEE
15 years 10 months ago
2007
IEEE
—In this paper, a new model that can ultimately create its own set of perceptual features is proposed. Using a bidirectional associative memory (BAM)-inspired architecture, the r...