Editorial Board
Cancelable fingerprint template design with randomized non-negative least squares
M3Net: A multi-model, multi-size, and multi-view deep neural network for brain magnetic resonance image segmentation
Simultaneous feature selection and discretization based on mutual information
A new sparse representation learning of complex data: Application to dynamic clustering of web navigation
SemTra: A semi-supervised approach to traffic flow labeling with minimal human effort
Constrained matrix factorization for semi-weakly learning with label proportions
Sample size for maximum-likelihood estimates of Gaussian model depending on dimensionality of pattern space
Deep convolutional network with locality and sparsity constraints for texture classification
Exploiting spatial relation for fine-grained image classification
Multi-layer discriminative dictionary learning with locality constraint for image classification
Nesting-structured nuclear norm minimization for spatially correlated matrix variate
Learning multi-layer coarse-to-fine representations for large-scale image classification
The impact of class imbalance in classification performance metrics based on the binary confusion matrix
A novel incremental one-class support vector machine based on low variance direction
Representation of online handwriting using multi-component sinusoidal model
DeepOtsu: Document enhancement and binarization using iterative deep learning
Visual object tracking via a manifold regularized discriminative dual dictionary model
Order-aware convolutional pooling for video based action recognition
A multi-scale level set method based on local features for segmentation of images with intensity inhomogeneity
Fast and accurate computation of Racah moment invariants for image classification
Generative adversarial framework for depth filling via Wasserstein metric, cosine transform and domain transfer
Agnostic attribute segmentation of dynamic scenes with limited spatio-temporal resolution
A gamma-signal-regulated connected components labeling algorithm
DELTA: A deep dual-stream network for multi-label image classification
Large-scale and rotation-invariant template matching using adaptive radial ring code histograms
Blind image quality assessment via learnable attention-based pooling
Reduction in number of constraints in max-margin early event detectors
Tractable learning of Bayesian networks from partially observed data
Filter-in-Filter: Low Cost CNN Improvement by Sub-filter Parameter Sharing
Fast semi-supervised discriminant analysis for binary classification of large data sets
Dirichlet densifiers for improved commute times estimation
Learning Bayesian networks using the constrained maximum a posteriori probability method
Erratum to ‘The multiscale bowler-hat transform for blood vessel enhancement in retinal images’ [Pattern Recognition 88 (2019) 739-750]
