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» Fast Feature Selection Using Fractal Dimension
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MLDM
2007
Springer
14 years 2 months ago
Ensemble-based Feature Selection Criteria
Recursive Feature Elimination (RFE) combined with feature ranking is an effective technique for eliminating irrelevant features when the feature dimension is large, but it is diffi...
Terry Windeatt, Matthew Prior, Niv Effron, Nathan ...
IJON
2008
121views more  IJON 2008»
13 years 8 months ago
Locality sensitive semi-supervised feature selection
In many computer vision tasks like face recognition and image retrieval, one is often confronted with high-dimensional data. Procedures that are analytically or computationally ma...
Jidong Zhao, Ke Lu, Xiaofei He
FGR
2006
IEEE
135views Biometrics» more  FGR 2006»
14 years 2 months ago
Adding Holistic Dimensions to a Facial Composite System
Facial composites are typically constructed by witnesses to crime by describing a suspect's face and then selecting facial features from a kit of parts. Unfortunately, when p...
Charlie D. Frowd, Vicki Bruce, Alex H. McIntyre, P...
BMCBI
2010
146views more  BMCBI 2010»
13 years 8 months ago
Genomic selection and complex trait prediction using a fast EM algorithm applied to genome-wide markers
Background: The information provided by dense genome-wide markers using high throughput technology is of considerable potential in human disease studies and livestock breeding pro...
Ross K. Shepherd, Theo H. E. Meuwissen, John A. Wo...
DAGM
2006
Springer
14 years 2 days ago
Feature Selection for Automatic Image Annotation
Automatic image annotation empowers the user to search an image database using keywords, which is often a more practical option than a query-by-example approach. In this work, we p...
Lokesh Setia, Hans Burkhardt