Efficient Feature Mapping in Classifying Proportional Data

Efficient Feature Mapping in Classifying Proportional Data

In image classification, traditional kernels or feature mapping functions of Support Vector Machine(SVM) use discriminative features without considering the true nature of the data. Our work in this paper is motivated by the need to consider intrinsic distribution of L1 normalized histograms and dev...

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Bibliographic Details
Main Authors: Md. Hafizur Rahman, Nizar Bouguila
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Proportional data
support vector machines
Dirichlet distribution
generalized Dirichlet distribution
Beta-Liouville distribution
human action recognition
Online Access:https://ieeexplore.ieee.org/document/9308999/

Internet

https://ieeexplore.ieee.org/document/9308999/

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