Locally Linear Embedding and fMRI Feature Selection in Psychiatric Classification

Locally Linear Embedding and fMRI Feature Selection in Psychiatric Classification

Background: Functional magnetic resonance imaging (fMRI) provides non-invasive measures of neuronal activity using an endogenous Blood Oxygenation-Level Dependent (BOLD) contrast. This article introduces a nonlinear dimensionality reduction (Locally Linear Embedding) to extract informative measures...

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Bibliographic Details
Main Author: Gagan Sidhu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Journal of Translational Engineering in Health and Medicine
Subjects:
Nonlinear
dimensionality reduction
image processing
machine learning
kernel methods
optimization
Online Access:https://ieeexplore.ieee.org/document/8807145/

Internet

https://ieeexplore.ieee.org/document/8807145/

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