Feature extraction in classification
Feature extraction, or dimensionality reduction, is an essential part of many machine learning applications. The necessity for feature extraction stems from the curse of dimensionality and the high computational cost of manipulating high-dimensional data. In this thesis we focus on feature extractio...
Main Author: | Liu, Raymond |
---|---|
Other Authors: | Gillies, Duncan |
Published: |
Imperial College London
2013
|
Subjects: | |
Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.650594 |
Similar Items
-
Hierarchical ensemble classification : towards the classification of data collections that feature large numbers of class labels
by: Alshdaifat, Esra'a
Published: (2015) -
Force field feature extraction for ear biometrics
by: Hurley, David J.
Published: (2001) -
Feature extraction and clustering techniques for digital image forensics
by: Alfraih, Areej S.
Published: (2015) -
Multi-objective feature extraction and ensembles of classifiers for invariant image identification
by: Albukhanajer, Wissam A.
Published: (2015) -
Novel hierarchical feature selection methods for classification and their application to datasets of ageing-related genes
by: Wan, Cen
Published: (2015)