Editorial Board
Hard negative generation for identity-disentangled facial expression recognition
Fixed-length asymmetric binary hashing for fingerprint verification through GMM-SVM based representations
Nasal similarity measure of 3D faces based on curve shape space
Laplacian pyramid adversarial network for face completion
Cascade learning from adversarial synthetic images for accurate pupil detection
Fingerprint growth model for mitigating the ageing effect on children’s fingerprints matching
Blood vessel segmentation from fundus image by a cascade classification framework
Structured sparsity regularized multiple kernel learning for Alzheimer’s disease diagnosis
Online anomaly detection for long-term ECG monitoring using wearable devices
The multiscale bowler-hat transform for blood vessel enhancement in retinal images
To cluster, or not to cluster: An analysis of clusterability methods
Multi-view subspace clustering with intactness-aware similarity
Efficient robust methods via monitoring for clustering and multivariate data analysis
Unsupervised pattern recognition of mixed data structures with numerical and categorical features using a mixture regression modelling framework
K-Nets: Clustering through nearest neighbors networks
HG-means: A scalable hybrid genetic algorithm for minimum sum-of-squares clustering
Block sparse representation for pattern classification: Theory, extensions and applications
Linear classifier design in the weight space
Adaptive-weighting discriminative regression for multi-view classification
LightweightNet: Toward fast and lightweight convolutional neural networks via architecture distillation
Class-specific attribute weighted naive Bayes
Improving classification with semi-supervised and fine-grained learning
Attention-based convolutional neural network and long short-term memory for short-term detection of mood disorders based on elicited speech responses
Sparse, collaborative, or nonnegative representation: Which helps pattern classification?
Deep adaptive learning for writer identification based on single handwritten word images
Word spotting and recognition via a joint deep embedding of image and text
Intelligent character recognition using fully convolutional neural networks
Robust visual tracking via nonlocal regularized multi-view sparse representation
Semi-supervised person re-identification using multi-view clustering
Detecting abnormal crowd behaviors based on the div-curl characteristics of flow fields
Unsupervised object discovery and co-localization by deep descriptor transformation
New set of multi-channel orthogonal moments for color image representation and recognition
Convolutional network architectures for super-resolution/sub-pixel mapping of drone-derived images
3D registration based on the direction sensor measurements
Deep gated attention networks for large-scale street-level scene segmentation
Active contours driven by global and local weighted signed pressure force for image segmentation
Simultaneous color-depth super-resolution with conditional generative adversarial networks
Random forest dissimilarity based multi-view learning for Radiomics application
Learning from crowds with variational Gaussian processes
On-line Elastic Similarity Measures for time series
Diffusion network embedding
Fast stochastic second-order method logarithmic in condition number
Autoencoder node saliency: Selecting relevant latent representations
Encoding sparse and competitive structures among tasks in multi-task learning
Joint interaction with context operation for collaborative filtering
Incremental commute time and its online applications
Deep representation design from deep kernel networks
A label-specific multi-label feature selection algorithm based on the Pareto dominance concept
Quantum-based subgraph convolutional neural networks
High-quality spectral-spatial reconstruction using saliency detection and deep feature enhancement
Strength and similarity guided group-level brain functional network construction for MCI diagnosis
A tensor framework for geosensor data forecasting of significant societal events
Dual-force convolutional neural networks for accurate brain tumor segmentation
Collaborative representation based face classification exploiting block weighted LBP and analysis dictionary learning
Auto-weighted multi-view clustering via kernelized graph learning
Incremental semi-supervised learning on streaming data
Aggregating minutia-centred deep convolutional features for fingerprint indexing
Attention guided deep audio-face fusion for efficient speaker naming
Zero-shot event detection via event-adaptive concept relevance mining
Perceptually-guided deep neural networks for ego-action prediction: Object grasping
