Sparse-Filtered Convolutional Neural Networks with Layer-Skipping (SFCNNLS) for intra-class variation of vehicle type recognition

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Sparse-Filtered Convolutional Neural Networks with Layer-Skipping (SFCNNLS) for intra-class variation of vehicle type recognition

Vehicle type recognition has become an important application in Intelligence Transportation Systems (ITSs) to provide a safe and efficient road and transportation infrastructure. There are some challenges in implementing this technology including the complexity of the image that will distract accura...

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Bibliographic Details
Main Authors:	Suryanti, Awang, Nik Mohamad Aizuddin, Nik Azmi
Format:	Book Chapter
Language:	English English
Published:	IOS Press 2017
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/42618/ http://umpir.ump.edu.my/id/eprint/42618/1/Sparse-filtered%20convolutional%20neural%20networks%20with%20layer-skipping.pdf http://umpir.ump.edu.my/id/eprint/42618/2/Sparse-filtered%20convolutional%20neural%20networks%20with%20layer-skipping%20%28SFCNNLS%29%20for%20intra-class%20variation%20of%20vehicle%20type%20recognition_ABS.pdf

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