Automatic detection and classification of manufacturing defects in metal boxes using deep neural networks

Multi-label feature selection with missing labels

(2018) Pengfei Zhu et al.   PATTERN RECOGNITION

Group sparse autoencoder

(2017) Anush Sankaran et al.   IMAGE AND VISION COMPUTING

Quality inspection of machined metal parts using an image fusion technique

(2017) S. Satorres Martínez et al.   MEASUREMENT

Unsupervised feature extraction with autoencoder trees

(2017) Ozan İrsoy et al.   NEUROCOMPUTING

Subspace clustering guided unsupervised feature selection

(2017) Pengfei Zhu et al.   PATTERN RECOGNITION

Stacking denoising auto-encoders in a deep network to segment the brainstem on MRI in brain cancer patients: A clinical study

(2016) Jose Dolz et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Detection and classification of surface defects of gun barrels using computer vision and machine learning

(2015) Rajalingappaa Shanmugamani et al.   MEASUREMENT

Asymptotic analysis of the role of spatial sampling for covariance parameter estimation of Gaussian processes

(2013) François Bachoc   JOURNAL OF MULTIVARIATE ANALYSIS

Bearing defect inspection based on machine vision

(2012) Hao Shen et al.   MEASUREMENT