Weighted joint sparse representation for removing mixed noise in image
Joint sparse representation (JSR) has shown great potential in various image processing
and computer vision tasks. Nevertheless, the conventional JSR is fragile to outliers. In this …
and computer vision tasks. Nevertheless, the conventional JSR is fragile to outliers. In this …
Ensemble Learning for Multi-Label Classification with Unbalanced Classes: A Case Study of a Curing Oven in Glass Wool Production
MH Ho, A Ponchet Durupt, HC Vu, N Boudaoud… - Mathematics, 2023 - mdpi.com
The Industrial Internet of Things (IIoT), which integrates sensors into the manufacturing
system, provides new paradigms and technologies to industry. The massive acquisition of …
system, provides new paradigms and technologies to industry. The massive acquisition of …
Multi-classifier ensemble based on dynamic weights
F Ren, Y Li, M Hu - Multimedia Tools and Applications, 2018 - Springer
In this study, a novel multi-classifier ensemble method based on dynamic weights is
proposed to reduce the interference of unreliable decision information and improve the …
proposed to reduce the interference of unreliable decision information and improve the …
GB(2D)2 PCA-based convolutional network for face recognition
Face recognition is a challenging task in computer vision. Numerous efforts have been
made to design low-level hand-crafted features for face recognition. Low-level hand-crafted …
made to design low-level hand-crafted features for face recognition. Low-level hand-crafted …
Discriminative collaborative representation-based tracking
X Lu, Y Liang, Z He - Journal of Electronic Imaging, 2018 - spiedigitallibrary.org
Recently, sparse representation has been widely introduced into tracking methods to
improve their performance. However, these methods only focus on reconstructing the …
improve their performance. However, these methods only focus on reconstructing the …
Image classification by semisupervised sparse coding with confident unlabeled samples
X Li, M Fang, J Wu, L He, X Tian - Journal of Electronic …, 2017 - spiedigitallibrary.org
Sparse coding has achieved very excellent performance in image classification tasks,
especially when the supervision information is incorporated into the dictionary learning …
especially when the supervision information is incorporated into the dictionary learning …
Hierarchical discriminant manifold learning for dimensionality reduction and image classification
In the field of image classification, it has been a trend that in order to deliver a reliable
classification performance, the feature extraction model becomes increasingly more …
classification performance, the feature extraction model becomes increasingly more …