Parameter Sensitive Feature Selection for Learning on Large Datasets

Though there are many feature selection methods for learning, they might not scale well to very large datasets, such as those generated in computer vision data. Furthermore, it can be beneficial to capture and model the variability inherent to data such as face detection where a plethora of face pos...

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Bibliographic Details
Other Authors: Gramajo, Gary (authoraut)
Format: Others
Language:English
English
Published: Florida State University
Subjects:
Online Access:http://purl.flvc.org/fsu/fd/FSU_migr_etd-9604