Editorial Board
Local minima found in the subparameter space can be effective for ensembles of deep convolutional neural networks
Iterative local re-ranking with attribute guided synthesis for face sketch recognition
Parametric recurrence quantification analysis of autoregressive processes for pattern recognition in multichannel electroencephalographic data
Convolutional kernels with an element-wise weighting mechanism for identifying abnormal brain connectivity patterns
Weighted bilateral K-means algorithm for fast co-clustering and fast spectral clustering
DenMune: Density peak based clustering using mutual nearest neighbors
BLOCK-DBSCAN: Fast clustering for large scale data
GridMix: Strong regularization through local context mapping
Generalisations of stochastic supervision models
Efficient densely connected convolutional neural networks
Semi-automatic data annotation guided by feature space projection
Complex image processing with less data—Document image binarization by integrating multiple pre-trained U-Net modules
Probabilistic homogeneity for document image segmentation
A theoretical justification of warping generation for dewarping using CNN
An occlusion-resistant circle detector using inscribed triangles
Blind image deblurring based on the sparsity of patch minimum information
DPNet: Detail-preserving network for high quality monocular depth estimation
Towards using count-level weak supervision for crowd counting
CADN: A weakly supervised learning-based category-aware object detection network for surface defect detection
Learning modulation filter networks for weak signal detection in noise
Nonlocal patch similarity based heterogeneous remote sensing change detection
Solving large-scale support vector ordinal regression with asynchronous parallel coordinate descent algorithms
Weakly supervised image classification and pointwise localization with graph convolutional networks
Active k-labelsets ensemble for multi-label classification
Two-phase Dynamic Routing for Micro and Macro-level Equivariance in Multi-Column Capsule Networks
A generic shift-norm-activation approach for deep learning
Topological optimization of the DenseNet with pretrained-weights inheritance and genetic channel selection
Implementing transfer learning across different datasets for time series forecasting
SLiKER: Sparse loss induced kernel ensemble regression
A comprehensive survey of multi-view video summarization
Video saliency prediction using enhanced spatiotemporal alignment network
