Editorial Board
Client-specific anomaly detection for face presentation attack detection
A novel dimension reduction and dictionary learning framework for high-dimensional data classification
Fast hard negative mining for deep metric learning
Feature selection using bare-bones particle swarm optimization with mutual information
On parameterizing higher-order motion for behaviour recognition
Cross-modal discriminant adversarial network
Joint adaptive manifold and embedding learning for unsupervised feature selection
Machine learning based feature selection and knowledge reasoning for CBR system under big data
Stable feature selection using copula based mutual information
Type-reduced vague possibilistic fuzzy clustering for medical images
NMF with feature relationship preservation penalty term for clustering problems
On finite mixture modeling and model-based clustering of directed weighted multilayer networks
A simulated annealing algorithm with a dual perturbation method for clustering
Enhancing in-tree-based clustering via distance ensemble and kernelization
Dynamic spectral residual superpixels
A plug-in attribute correction module for generalized zero-shot learning
Scale variance minimization for unsupervised domain adaptation in image segmentation
Behavior regularized prototypical networks for semi-supervised few-shot image classification
Temperature network for few-shot learning with distribution-aware large-margin metric
Heterogeneous ensemble selection for evolving data streams
Exploiting structured high-level knowledge for domain-specific visual classification
Multiple discriminant analysis for collaborative representation-based classification
Semi-supervised kernel matrix learning using adaptive constraint-based seed propagation
Deep residual pooling network for texture recognition
Hyperspectral image classification via discriminative convolutional neural network with an improved triplet loss
Imprecise Gaussian discriminant classification
SVMs multi-class loss feedback based discriminative dictionary learning for image classification
Candidate fusion: Integrating language modelling into a sequence-to-sequence handwritten word recognition architecture
Time-series averaging and local stability-weighted dynamic time warping for online signature verification
LSTM based trajectory prediction model for cyclist utilizing multiple interactions with environment
Averaging GPS segments competition 2019
Multicamera pedestrian detection using logic minimization
Unsupervised deep hashing with node representation for image retrieval
EACOFT: An energy-aware correlation filter for visual tracking
Label group diffusion for image and image pair segmentation
Multi-view content-based mammogram retrieval using dynamic similarity and locality sensitive hashing
A CenterNet++ model for ship detection in SAR images
Image super-resolution via channel attention and spatial graph convolutional network
Deep mutual learning for visual object tracking
Training deep retrieval models with noisy datasets: Bag exponential loss
Single-shot 3D multi-person pose estimation in complex images
Unsupervised learning framework for interest point detection and description via properties optimization
Plant leaf recognition by integrating shape and texture features
IoU-uniform R-CNN: Breaking through the limitations of RPN
Siamese networks with distractor-reduction method for long-term visual object tracking
Robust visual tracking via spatio-temporal adaptive and channel selective correlation filters
Learning to transfer focus of graph neural network for scene graph parsing
EF-Net: A novel enhancement and fusion network for RGB-D saliency detection
Infrared small target detection via adaptive M-estimator ring top-hat transformation
OAENet: Oriented attention ensemble for accurate facial expression recognition
Compact class-conditional domain invariant learning for multi-class domain adaptation
Variational posterior approximation using stochastic gradient ascent with adaptive stepsize
A hierarchical weighted low-rank representation for image clustering and classification
Connectivity-based convolutional neural network for classifying point clouds
Reconstruction by inpainting for visual anomaly detection
Semi-supervised blockwisely architecture search for efficient lightweight generative adversarial network
Neural random subspace
Sparsely-labeled source assisted domain adaptation
Real-time sufficient dimension reduction through principal least squares support vector machines
CPM: A general feature dependency pattern mining framework for contrast multivariate time series
A simple graph embedding for anomaly detection in a stream of heterogeneous labeled graphs
GraphAIR: Graph representation learning with neighborhood aggregation and interaction
MobileGCN applied to low-dimensional node feature learning
Automated segmentation of the optic disc from fundus images using an asymmetric deep learning network
Linguistically-aware attention for reducing the semantic gap in vision-language tasks
3D-GAT: 3D-Guided adversarial transform network for person re-identification in unseen domains
Biennial Pattern Recognition Journal Awards 2017 and 2018
