A New Technique for Vibration-Based Diagnostics of Fatigued Structures Based on Damage Pattern Recognition via Minimization of Misclassification Probability

2017 ◽  
pp. 191-206 ◽  
Author(s):  
Nicholas A. Nechval ◽  
Konstantin N. Nechval
Keyword(s):  
Pattern Recognition ◽  
New Technique ◽  
Damage Pattern ◽  
Misclassification Probability ◽  
A New Technique

A new technique to construct a wavelet transform matching a specified signal with applications to digital, real time, spike, and overlap pattern recognition

2006 ◽  
Vol 16 (1) ◽  
pp. 24-44 ◽  
Author(s):  
Rodrigo Capobianco Guido ◽  
Jan Frans Willem Slaets ◽  
Roland Köberle ◽  
Lírio Onofre Batista Almeida ◽  
José Carlos Pereira
Keyword(s):  
Pattern Recognition ◽  
Wavelet Transform ◽  
Real Time ◽  
New Technique ◽  
A New Technique

Computerized pattern recognition: a new technique for the analysis of chemical communication

Science ◽  
1985 ◽  
Vol 228 (4696) ◽  
pp. 175-177 ◽  
Author(s):  
A. Smith ◽  
A. Belcher ◽  
G Epple ◽  
P. Jurs ◽  
B Lavine
Keyword(s):  
Pattern Recognition ◽  
Chemical Communication ◽  
New Technique ◽  
A New Technique

Sparse Representation Frontal Facial Recognition Algorithm Based on Eigenface

2013 ◽  
Vol 347-350 ◽  
pp. 3629-3633
Author(s):  
Bo Yang Ding ◽  
Yuan Yan Tang ◽  
Zhen Chao Zhang ◽  
Xue Wei Wang ◽  
Chi Fang
Keyword(s):  
Computer Vision ◽  
Pattern Recognition ◽  
Face Recognition ◽  
Compressed Sensing ◽  
Sparse Representation ◽  
Facial Recognition ◽  
Recognition Algorithm ◽  
New Technique ◽  
Great Performance ◽  
A New Technique

Face recognition continues to be a hot topic in pattern recognition and computer vision recent years. Meantime, sparse representation is a new technique utilizing compressed sensing method applied in pattern recognition research recent years. This paper comparison with PCA and SP for face recognition, makes some improvement on great performance eigenface algorithm, using sparse representation with eigenface space to achieved better result. Finally, the proposed algorithm based on eigenface sparse recognition shows that of better result.

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