Deep Learning Class Discrimination Based on Prior Probability for Human Activity Recognition

Deep Learning Class Discrimination Based on Prior Probability for Human Activity Recognition

Convolutional neural network (CNN) depicts the transformation of the input image through a series of convolutions and other non-linear phases for recognition and classification purposes. This method has gained popularity for its significant contributions to computer vision applications and the impro...

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Bibliographic Details
Main Authors: Festus Osayamwen, Jules-Raymond Tapamo
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Deep learning
feature discrimination
class center
human activity recognition
convolutional neural network
Online Access:https://ieeexplore.ieee.org/document/8610164/

Internet

https://ieeexplore.ieee.org/document/8610164/

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