Editorial Board
Conditional convolution neural network enhanced random forest for facial expression recognition
Face recognition from multiple stylistic sketches: Scenarios, datasets, and evaluation
Subject-Specific prior shape knowledge in feature-oriented probability maps for fully automatized liver segmentation in MR volume data
Angular Radon spectrum for rotation estimation
Affinity learning via a diffusion process for subspace clustering
A safe sample screening rule for Laplacian twin parametric-margin support vector machine
Morphological classifiers
A novel formulation of orthogonal polynomial kernel functions for SVM classifiers: The Gegenbauer family
Online multi-label streaming feature selection based on neighborhood rough set
Distinctiveness, complexity, and repeatability of online signature templates
F-NSP+: A fast negative sequential patterns mining method with self-adaptive data storage
A novel framework for background subtraction and foreground detection
Weakly-supervised object detection via mining pseudo ground truth bounding-boxes
Circular mesh-based shape and margin descriptor for object detection
Parametric and nonparametric context models: A unified approach to scene parsing
Learning spatial relations and shapes for structural object description and scene recognition
MoE-SPNet: A mixture-of-experts scene parsing network
Binary Partition Tree construction from multiple features for image segmentation
A fast robust geometric fitting method for parabolic curves
Using fuzzy least squares support vector machine with metric learning for object tracking
Multi-view label embedding
Model-based learning for point pattern data
Robust one-class support vector machine with rescaled hinge loss function
Learning visual and textual representations for multimodal matching and classification
Detection and classification of cancer in whole slide breast histopathology images using deep convolutional networks
Correntropy-based robust multilayer extreme learning machines
Wild patterns: Ten years after the rise of adversarial machine learning
