Regularization and Kernelization of the Maximin Correlation Approach

Regularization and Kernelization of the Maximin Correlation Approach

Robust classification becomes challenging when each class consists of multiple subclasses. Examples include multi-font optical character recognition and automated protein function prediction. In correlation-based nearest-neighbor classification, the maximin correlation approach (MCA) provides the wo...

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Bibliographic Details
Main Authors: Taehoon Lee, Taesup Moon, Seung Jean Kim, Sungroh Yoon
Format: Article
Language:English
Published: IEEE 2016-01-01
Series:IEEE Access
Subjects:
nearest neighbor
correlation
maximin
SOCP
QCLP
QP
Online Access:https://ieeexplore.ieee.org/document/7448814/

Internet

https://ieeexplore.ieee.org/document/7448814/

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